Paulo Rodrigues1, Vesna Prckovska1, W. L.P.M. Pullens2, Gustav J. Strijkers3, Anna Vilanova1, Bart M. ter Haar Romeny1
1Biomedical Image Analysis, Eindhoven University of Technology, Eindhoven, Noord Brabant, Netherlands; 2Maatricht Brain Imaging Center, Maastricht University, Maastricht, Limburg, Netherlands; 3Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Noord Brabant, Netherlands
Diffusion Weighted MRI techniques such as Diffusion Tensor Imaging (DTI) and High Angular Resolution Diffusion Imaging (HARDI) are emerging MRI techniques able to depict in-vivo brains connectivity map. There is a wide range of uses of these techniques; however, their application in a clinical setting requires thorough validation. This work aims to validate DTI and HARDI software phantoms, in regions of single and complex fiber bundles, w.r.t to hardware phantom and in-vivo human brain data. Knowledge of the accuracy of synthetic data can improve the evaluation of such algorithms, and advance the employment of DTI and HARDI into clinical environment.
Wilhelmus LPM Pullens1, Alard Roebroeck1, Rainer Goebel1
1Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Limburg, Netherlands
The human optic chiasm is an interesting, complex fiber structure, hard to image in vivo. Based on the anatomy, a DW-MRI phantom was constructed, offering the possibility to quantify tractography results, with little limits on imaging time, and it does not suffer from motion or cardiac pulsation artifacts. A detailed analysis of Constrained Spherical Deconvolution and tensor reconstructions was done, as well as quantitative (probabilistic) fiber tracking. These phantoms form ideal test objects to improve and validate imaging and quantitative DW-MRI tractography on complex fiber structures such as the optic chiasm.
Ana-Maria Oros-Peusquens1, Arlad Roebroeck2, Oleg Posnansky1, N Jon Shah1,2
1Institute of Neuroscience and Medicine 4, Medical Imaging Physics, Forschungszentrum Juelich GmbH, Juelich, Germany; 2Faculty of Medicine, JARA, RWTH Aachen University, Aachen, Germany
MRI of fixed tissue can be performed with very high resolution since measurement time is not a major constraint. Here, we use STEAM diffusion to overcome EPI-related problems (poor resolution, distortions, signal drop out) at 9.4T. We investigate fixed tissue samples from the occipital lobe (visual cortex) and temporal lobe (auditory cortex) with a voxel size of 80nl (resolution of 0.3x0.3x0.8mm). Cortical layer structure is observed in the ADC and FA maps. Fibre tracks from the stria of Gennari, from adjacent white matter and fibres emerging from the grey matter joining the regular tracts of the white matter are investigated.
Viviana Negri1, Arisbel Cerpa2, Laura Nieto3, Pilar Lopez-Larrubia3, Sebastian Cerdan3, Paloma Ballesteros4
1Organic Synthesis and Molecular Imaging Laboratory, UNED-CSIC Unit, Madrid, Spain; 2Universidad Europea de Madrid, Madrid, Spain; 3Animal Models of Human Disease, IIBM-CSIC, Madrid, Spain; 4Orghanic Synthesis and Molecular Imaging Laboratory, UNED-CSIC Unit, Madrid, Spain
Single Walled Carbon Nanotubes (SWNT´s) prepared by Chemical Vapor Deposition, oxidized with nitric acid during 48h, depicted 100-200 nm length and contained the paramagnetic metals (17% Ni, 4% Y). Orthogonal water ADC measurements performed in a suspension of SWNT´s in sodium dodecylbenzenesulfonate (2%), with the diffusion encoding gradient oriented in the H-F, L-R or A-P directions, showed significantly higher water ADC´s in the H-F direction than in the perpendicular plane. These results suggest that ADC values of tissue water may be modified anisotropically using these preparations, opening a new perspective for contrast agents active in ADC weighted MRI.
Pew-Thian Yap1, Yasheng Chen1, Hongyu An1, John H. Gilmore2, Weili Lin1, Dinggang Shen1
1Department of Radiology, University of North Carolina, Chapel Hill, NC, United States; 2Department of Psychiatry, University of North Carolina, Chapel Hill, NC, United States
We propose a full-brain multi-scale feature-based deformable registration algorithm based on the statistics of the diffusion profile of HARDI data. Besides the advantage of avoiding any predetermined models which may not necessarily fit the data, our method registers the diffusion weighted images (DWIs) and allows model fitting after the registration. This essentially means that our method can be utilized as a preprocessing step for a wide assortment of available diffusion models. Our method is also well suited for clinical applications due to its low computational cost around 5 minutes on a 2.8GHz Linux machine (without algorithm optimization) to register a pair of images of typical size 128 x 128 x 80. The main idea involves extraction of statistical features directly from the diffusion profile, which includes mean diffusivity, diffusion anisotropy, regional diffusion statistics, and statistic-map-based edges.
14:00 3969. Symmetric Diffeomorphic Normalisation of Fibre Orientation Distributions - not available
David A. Raffelt1,2, J-Donald Tournier3,4, Jurgen Fripp1, Alan Connelly3,4, Stuart Crozier2, Olivier Salvado1
1The Australian E-Health Research Centre, CSIRO, Brisbane, QLD, Australia; 2Department of Biomedical Engineering, University of Queensland, Brisbane, QLD, Australia; 3Brain Research Institute, Florey Neuroscience Institutes (Austin), Melbourne, VIC, Australia; 4Department of Medicine, University of Melbourne, Melbourne, VIC, Australia
Fibre Orientation Distributions (FODs) computed by Constrained Spherical Deconvolution can resolve multiple fibres within a single voxel. We have developed a symmetric diffeomorphic registration method to exploit crossing fibre information provided by FODs to spatially normalise high angular resolution diffusion weighted imaging data. We demonstrate the utility of the proposed method by generating a group average FOD template.
Xiujuan Geng1, Hong Gu1, Wang Zhan2, Wanyong Shin1, Yi-Ping Chao3, Norbert Schuff, Ching-Po Lin4, Yihong Yang1
1Neuroimaging, National Institute on Drug Abuse, NIH, Baltimore, MD, United States; 2Department of Radiology, University of California, San Francisco; 3Department of Electrical Engineering, National Taiwan University, Taiwan; 4Institute of Brain Science, National Yang-Ming University, Taiwan
We propose a novel diffeomorphic registration method for diffusion MRI data by mapping their orientation distribution functions (ODFs) represented with spherical harmonics (SHs). The registration is based on optimizing a diffeomorphic demons cost function. ODF reorientation is performed by rotating the SH coefficients to maintain the consistency with the local fiber orientations. Rotation on SH coefficients avoids the estimation of principle directions which has no analytical solution and is time consuming. The performance was tested using different SH orders. Results show that registration with higher orders improves the registration accuracy in terms of smaller similarity error and higher directional consistency.
Pew-Thian Yap1, Yasheng Chen2, Hongyu An2, John Gilmore3, Weili Lin2, Dinggang Shen2
1Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States; 2Department of Radiology, University of North Carolina, Chapel Hill, NC, United States; 3Department of Psychiatry, University of North Carolina, Chapel Hill, NC, United States
Fourth Order Tensors (FOTs) give elegant mathematical properties akin to that of the second order tensors. Recent formulation of FOT imposes positivity on the estimates to ensure soundness in a physical sense - a property not often found in more general higher order tensor approximations. Employing FOTs, we propose a fast feature-based multi-scale registration algorithm for whole brain HARDI data. Our registration algorithm requires a low computation cost 5 minutes to register a pair of 128x128x80 images at 2mm isotropic resolution making it practically feasible for clinical applications. Our methods involve three major components: 1) Generation of FOT-based features, 2) Hierarchical correspondence matching, 3) Dense deformation field estimation, and 4) Retransformation.
Jimmy Lätt1,2, Markus Nilsson2, Sara Brockstedt3, Ronnie Wirestam2, Freddy Ståhlberg2,4
1Center for Medical Imaging and Physiology, Lund University Hospital, Lund, Sweden; 2Department of Medical Radiation Physics, Lund University, Lund, Sweden; 3Radiation Physics, Lund University Hospital, Lund, Sweden; 4Department of Diagnostic Radiology, Lund University, Lund, Sweden
Diffusion kurtosis imaging provides additional information as compared to diffusion tensor imaging. Due to the long scan times, required to solve the kurtosis tensor, diffusion kurtosis measurements are not always clinical feasible. In this study, we show that a bias free kurtosis value can be estimated through an optimized encoding scheme within a clinically feasible time of two minutes.
Tristan Anselm Kuder1, Bram Stieltjes, Amir Moussavi1, Frederik Bernd Laun1
1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
The diffusion kurtosis is obtained by fitting a polynomial to the logarithmic diffusion weighted signal acquired at different b-values. The aim of this study was to evaluate factors influencing the measured kurtosis. A strong dependence on the maximum b-value and the fitting polynomial was found. The cubic fit does not eliminate the dependence on the maximum b-value and causes a larger uncertainty in the measured kurtosis values compared to the quadratic fit. Thus, the quadratic fit is preferable. Fitting the Diffusion Kurtosis Tensor with 15 directions is unstable and at least 30 gradient directions should be used.
Ali Tabesh1, Jens H. Jensen1, Babak A. Ardekani2, Joseph A. Helpern1,2
1Radiology, New York University School of Medicine, New York, NY, United States; 2Medical Physics, The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States
The diffusional kurtosis imaging model of non-Gaussian water diffusion is parameterized by the diffusion and kurtosis tensors, which are typically estimated via unconstrained least squares (LS) methods. Unfortunately, these methods do not necessarily produce physically and biologically plausible tensor estimates. We address this drawback by formulating the estimation problem as linearly constrained linear LS. Comparison of in vivo mean kurtosis maps obtained using the proposed formulation and unconstrained linear LS highlights the improved estimation quality. The proposed formulation achieves comparable map quality with fewer gradient images than the unconstrained LS approach, offering a savings of 38% in acquisition time.
Tristan Anselm Kuder1, Bram Stieltjes, Amir Moussavi1, Frederik Bernd Laun1
1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
The Diffusion Kurtosis Tensor (DKT) describes the directional dependence of the kurtosis which quantifies non-Gaussian diffusion. The aim of this study was to evaluate the quality of the tensor determination under well-defined conditions using diffusion phantoms. The DKT was determined using two methods. While the standard method using a pseudoinverse matrix fails, the new method emphasizing the high kurtosis values allows a reliable fit of the DKT. Comparison of the measurement using 30 directions to that with 256 directions shows the high quality of the tensor model when combined with the improved calculation method.
Emine Ulku Saritas1, Greg Zaharchuk2, Ajit Shankaranarayanan3, Murat Aksoy2, Roland Bammer2, Nancy J. Fischbein2, Maxwell Boakye4, Dwight G. Nishimura1
1Department of Electrical Engineering, Stanford University, Stanford, CA, United States; 2Department of Radiology, Stanford University, Stanford, CA, United States; 3Global Applied Science Laboratory, GE Healthcare, Menlo Park, CA, United States; 4Department of Neurosurgery, Stanford University, Stanford, CA, United States
There is much interest in extending diffusion tensor imaging (DTI) research to the spinal cord, whose connections are responsible for motor and sensory functions of the body. However, DTI of the spinal cord is limited by the need for high spatial-resolution, as well as the difficulties associated with susceptibility differences, field inhomogeneities (especially at 3T), and motion of the cord. A reduced field-of-view (FOV) method using a 2D echo-planar RF excitation has recently been shown to overcome these limitations and improve spinal cord diffusion-weighted imaging. This study addresses the application of this method to acquire high-resolution low-distortion DTI (including both fractional anisotropy (FA) maps and fiber tractography) of the spinal cord at 3T.
Jadwiga Rogowska1, M Lopez-Larson2, M Bielecki3, Piotr Bogorodzki3, D Yurgelun-Todd2
1Brain Imaging Center, McLean Hospital/Harvard Medical School, Belmont, MA, United States; 2The Brain Institute, University of Utah, Salt Lake City, UT, United States; 3Institute of Radioelectronics, Warsaw Technical University, Warsaw, Poland
Human imaging studies have implicated structural and functional abnormalities in patients with bipolar disorder. In this study we examined the differences in diffusion tensor imaging (DTI) data between bipolar patients and healthy control subjects using the methodology of Track-Based Spatial Statistics and our newly developed SPM's Toolbox. We found that bipolar disorder patients had significantly lower fractional anisotropy values within the cingulate gyrus when compared to control subjects. Our findings suggest that DTI techniques can highlight microstructural abnormalities in the brain, not evident on conventional MRI, which may be associated with the neuropathology of this disorder.
14:30 3978. Functional Diffusion Map Evaluation of Perihematomal Edema as an Imaging Biomarker for the Early Prediction of Primary Intracerebral Hemorrhage Outcome - not available
Yuan-Hsiung Tsai1,2, C-P Lin2,3, L-M Hsu2, H-H Weng1
1Diagnostic Radiology, Chang Gung Memorial Hospital, Chiayi, Taiwan, Taiwan; 2Biomedical Imaging and Radiological Sciences, National Yang Ming University, Taipei, Taiwan, Taiwan; 3Neuroscience, National Yang Ming University , Taipei, Taiwan
This prospective study described diffusion change in perihematomal edema during acute stage (within 7 days) after primary intracerebral hemorrhage by using functional diffusion map (fDM). fDM allows a spatial, voxel by voxel tracking of changes in ADC values over time that more precisely reflect the pathophysiological heterogeneity within the edema. Using fDM to evaluate the perihematomal edema appears promising in this study. fDM is feasible in predicting clinical outcome of ICH patient during acute stage.
Frank Peeters1, Dennis Rommel1, Andre Peeters2, Cecile Grandin1, Guy Cosnard1, Thierry Duprez1
1Medical Imaging, Université Catholique de Louvain, Brussels, Belgium; 2Neurology, Université Catholique de Louvain, Brussels, Belgium
The value of PW- and DW-related parameters for accurately predicting the ischemic penumbra at initial MR work-up in hyperacute stroke patients has remained probabilistic. In the frame we compared parameters obtained from DTI (2-points ADC, mono- and bi-exponential fits) and q-space imaging (tensor analysis) in a short preliminary cohort of seven hyperacute (<6 mours) stroke patients. Initial data analysis enhanced the value of using high b-values for stroke work-up. Anisotropic diffusion and QSI analysis added significantly to standard isotropic DWI and may have the potential to discriminate between worsening vs regressive infarction, and to delineate ischemic penumbra at admission work-up.
Rung-Yu Tseng1, Yi-Ping Chao1, Ke-Hsin Chen1, Ching-Po Lin1
1INSTITUTE OF NEUROSCIENCE, NATIONAL YANG-MING UNIVERSITY, TAIPEI, Taiwan
The hippocampus (HC) is one of the core regions in the limbic system. The function of HC was found to be related to some deficits in some psychological disorders. A current issue on HC is, however, the lack of the evidence to map appropriately between valid structure connectivity and the functional connectivity. In this study, Q-Ball Imaging (QBI) tractography technique was employed to provide advanced information in structural connectivity. On the other hand, resting-state functional Magnetic Resonance Imaging (rfMRI) brought the information of functional connectivity of HC. The combined information facilitates to understand the mechanism of HC clearly.
Jee Eun Lee1, Nicholas Lange2, Frances Haeberli1, Richard J. Davidson1, Andrew L. Alexander1
1Waisman Center, University of Wisconsin, Madison, WI, United States; 2Neurostatistics Laboratory, Belmont, MA, United States
DTI measures of normal children during their pubertal period were investigated. When age was matched for the pre-adolescence group (Tanner score 1) and adolescence (Tanner score 3&4) group, there was no significant DTI measures between these groups. However, DTI measures showed strong correlations with age for the entire subjects. Our study may indicate that changes in DTI measures over age are not driven by puberty-related changes directly.
Nadia CF Scantlebury1, Conrad Rockel1, William Gaetz2, Nicole Law1, Don Mabbott1
1Program in Neuroscience and Mental Health, The Hospital for Sick Children, Toronto, Ontario, Canada; 2Biomagnetic Imaging Laboratory, Children's Hospital of Philadelphia, Philadelphia, PA
Here we use the latency between a visual cue and a motor response to measure reaction time and test the contributions of white matter on information processing in children. Combined MEG and DTI methods were employed to delineate tracts that are likely involved in the modulation of signal transmission for reaction time. Findings implicate the white matter integrity of the inferior fronto-occipital fasciculus and the cortico-spinal tracts as important players in modulating reaction time. Age-related changes in white matter organization of these tracts are likely involved in increasing the efficiency of signal transmission and information processing.
Påvel Lindberg1, Antoine Feydy2, Marc A. Maier3
1Radiology B, Hopital Cochin, Paris, France; 2Radiology B, Hôpital Cochin, Paris, France; 3LNRS, Universite Paris Descartes, Paris, France
We hypothesized that spinal white matter organization relates to the level of dexterity in healthy subjects. Spinal white matter was analyzed using DTI and related to a precision grip tracking task. FA was lower in subjects with high tracking error and decreased with age. The closest relation between FA and tracking error was found in the lateral spinal cord whereas FA of the medial spinal cord correlated with age. The results suggest (i) a functionally relevant specialization of lateral spinal cord white matter and (ii) an increased sensitivity to age-related decline in medial spinal cord white matter in healthy subjects.
Emma Claire Robinson1,2, Fani Deligianni1,2, Alexander Hammers2, Daniel Rueckert1, A. David Edwards2
1Department of Computing, Imperial College, London, United Kingdom; 2Clinical Sciences Centre, Imperial College, London, United Kingdom
This abstract presents a study of fractional anisotropy (FA) variability in tracts passing from anterior to posterior regions of the brain during healthy ageing. Tracts are propagated in a common-co-ordinate space using a probabilistic white matter atlas. This is constructed by transforming uncertainty distributions on the principle diffusion directions for each subject to a common co-ordinate space and combining to generate a distribution for the population. FA is compared all voxels along the tract using permutation testing. Studying tracts in this way allows direct visualisation of FA changes along the full length of the tract
Mara Cercignani1, Karl Embleton2, Geoff J. M. Parker3, Marco Bozzali1
1Neuorimaging Laboratory, Santa Lucia Foundation, Rome, Italy; 2Cognition and Cognitive Neuroscience Group, School of Psychological Sciences, University of Manchester, United Kingdom; 3Imaging Science & Biomedical Engineering and the Biomedical Imaging Institute, University of Manchester, United Kingdom
Anatomical connectivity mapping (ACM) is obtained by initiating tractography streamlines from all parenchymal voxels, and counting the number of streamlines passing through each voxel of the brain, thus highlighting WM structures strongly connected to the rest of the brain. DTI data from 10 subjects were normalised and averaged to compute the mean tensor, from which FA and ACM were obtained. Colour-coded maps of principal eigenvector, modulated by ACM are displayed. Several structures typically visible on colour-coded FA maps are visible also on ACM. Many other structures, however, can be seen more clearly and with greater resolution on the ACM images
Linda Marrakchi-Kacem1,2, Fabrice Poupon1,2, Pauline Roca1,2, Alan Tucholka1,3, Christine Delmaire4, Eric Bardinet4,5, Michael Sharman4,5, Romain Valabregue4,5, Arnaud Messe, 2,6, Caroline Malherbe, 2,6, Habib Benali, 2,6, Alexandra Durr7,8, Jean-François Mangin1,2, Stephane Lehericy4,5, Cyril Poupon1,2
1NeuroSpin, CEA, Gif-Sur-Yvette, France; 2IFR49, Gif-Sur-Yvette, France; 3Parietal, INRIA, Saclay, France; 4CENIR, Pitie-Salpetrière Hospital, France; 5INSERM U975, France; 6UMR-S 678 INSERM-UPMC, France; 7APHP, Pitie-Salpetrière Hospital, France; 8INSERM S679, France
The basal ganglia are topographically connected to cortical areas. These connections define motor, associative and limbic territories. These basal ganglia are therefore involved in motor as well as cognitive and behavioral functions. Dysfunction of basal ganglia territories leads to various neurological diseases that are specifically associated with each territory. In this abstract, we present the design of a surface probabilistic atlas of the connections between the basal ganglia and the interface between the white matter (WM) and the cortex. Such an atlas can be built on a population of healthy subjects as well as on a population of specific patients. Statistical tools can then be used to detect the regions with significant differences on the cortex that may correspond to underlying abnormalities of the striato-pallido-cortical connections. Such differences could yield new biomarkers of neurological pathologies.
Michel Thiebaut de Schotten1, Flavio Dell'acqua, Dominic ffytche2, Matthew Allin3, Muriel Walshe3, Robin Murray4, Steve Williams2, Declan Murphy1, Marco Catani2
1Brain Maturation, Institute of Psychiatry, London, United Kingdom; 2Centre for Neuroimaging Sciences, Institute of Psychiatry, London; 3Department of Psychiatry, Institute of Psychiatry, London; 4Department of Psychological Medecine, Institute of Psychiatry, London
Increasing knowledge of white matter organization has recently been derived from diffusion tensor tractography but access to this knowledge has often been limited to Diffusion Tensor Imaging (DTI) experts. Therefore a tractography atlas of the human brain pathways is timely for a better comprehension of brain function. However, this endeavour may be compromised by methodological limitations of the DTI technique and the high degree of inter-individual anatomical variability. Here we combine group effect maps with a spatial overlap approach to develop a 3D probabilistic atlas that provides comprehensive information about inter-subject variability and general morphology of the tract.
Michel Thiebaut de Schotten1, Flavio Dell'Acqua1, Stephanie Forkel1, Marco Catani2
1Brain Maturation, Institute of Psychiatry, London, United Kingdom; 2Centre for Neuroimaging Sciences, Institute of Psychiatry, United Kingdom
The fronto-parietal network has been reported as involved in a large panel of function including spatial processing. In the monkey brain, Petrides & Pandya used the term superior longitudinal fasciculus (SLF) to indicate the fronto-parietal connections and identified three separate branches. In this study we have used advanced diffusion imaging to dissect the three branches of the SLF in 14 human living brains, measure the pattern of lateralization of its components and correlate these patterns with the spatial processing performance assessed with the line bisection test.
Jonathan Chia1, Zhiyue J. Wang2, Dah-Juu Wang3, Nancy K. Rollins2
1Philips Healthcare, Cleveland, OH, United States; 2Radiology, Children's Medical Center of Dallas, Dallas, TX, United States; 3The Children's Hospital of Philadelphia
Diffusion weighted imaging is originally sensitive to all types of motions of the spins, including both diffusion and perfusion. Simultaneous perfusion measurement may be still possible by inclusion of sampling with low b-values. DWI was performed with low and high b-values in order to quantify and characterize perfusion contributions using DWI at 1.5T and 3T.
14:30 3990. Multi-Center Reliability of Diffusion Tensor Imaging
Vincent Alfonso Magnotta1, Greg Bonett2, Bradley Bolster3, Bryon Mueller4, Kelvin Lim5, Susumu Mori6, Karl Helmer7, Jessica Turner8, Sara Reading9, Mark Lowe10, Elizabeth Aylward11, Laura Flashman1,2, Jane Paulsen1,3
1Radiology, The University of Iowa, Iowa City, IA, United States; 2Psychiatry, The University of Iowa, Iowa City, 52242, United States; 3Siemens Medical Solutions, Rochester, MN, United States; 4The University of Minnesota, Minneapolis, MN, United States; 5Psychiatry, The University of Minnesota, Minneapolis, MN, United States; 6Radiology, Johns Hopkins University, Baltimore, MD, United States; 7Radiology, Massachusetts General Hospital, Boston, MA, United States; 8Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, United States; 9Psychiatry, Johns Hopkins University, Baltimore, MD, United States; 10Radiology, Cleveland Clinic Foundation, Cleveland, OH, United States; 11Seattle Children's Research Institute, Seattle, WA, United States; 12Psychiatry, Dartmouth, Hanover, NH, United States; 13Psychiatry, The University of Iowa, Iowa City, IA, United States
A multi-center study of diffusion tensor imaging was conducted to evaluate the coefficient of variation for sequence, site, and vendor. Small variations of less than 1% were found within a site that increased to 3% across vendors.
Karl Gerard Helmer1, Ming-Chung Chou2, Allen Song3, Jessica Turner4, Barjor Gimi5, Susumu Mori6
1Radiology, Massachusetts General Hospital, Charlestown, MA, United States; 2Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan; 3Duke University, Durham, NC, United States; 4University of California, Irvine, Irvine, CA, United States; 5UT Southwestern Medical Center at Dallas, Dallas, TX, United States; 6Johns Hopkins University School of Medicine, Baltimore, MD, United States
The addition of diffusion tensor imaging to the protocol of multi-site studies has become more common in recent years. However, few studies have been performed on the reproducibility of tensor metrics across site and scanner manufacturer. We present data using scanners from Siemens, Philips, and GE and look at the behavior of the fractional anisotropy as decreasing amounts of data and/or diffusion-weighted directions are used in the tensor calculation. The methods used in this study are also suitable for the site-reliability characterization before a multi-site study is begun or after upgrades during the study.
Lian Xue1, Khader M. Hasan, Larry A. Kramer, Linda Ewing-Cobbs
1Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, Houston, TX, United States
Quantitative diffusion tensor imaging (DTI) has been used to detect serial microstructure changes post moderate and severe TBI. DTI metrics such as fractional anisotropy (FA), mean diffusivity (MD), axial and radial diffusivities, É// and ÉÛ revealed subtle differences of grey matter (GM) and white matter (WM) during recovery from TBI. However, there is no systematic whole brain study on the longitudinal evolution of GM and WM diffusion abnormalities during recovery from pediatric TBI patients. In this work, we perform a longitudinal study of 25 pediatric TBI patients who sustained moderate and severe TBI and 21 age-matched pediatric orthopedic comparison subjects. DTI was acquired 3 months after injury for each participant and repeated at 24 months after injury for each participant to examine recovery in the TBI group in relation to normal neurodevelopment changes during childhood and adolescence. Voxel based morphometry (VBM)  is adopted for an unbiased longitudinal data analysis and an optimal VBM procedure using the recently available DARTEL technique in SPM8 is developed to minimize misregistration. The VBM results for FA, MD maps of GM and FA, É// and ÉÛ maps of WM reveal different longitudinal changes in TBI patient cortical and subcortical structures compared with normal neurodevelopment changes, which provide insight into the significant impact of TBI on GM and WM.
Cornelius von Morze1, Douglas A. Kelley2, Suchandrima Banerjee2, Timothy M. Shepherd1, Duan Xu1, Christopher P. Hess1
1Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States; 2GE Healthcare, San Francisco, CA, United States
Ventral regions of the brain are an important research target in the early detection of Alzheimers disease, but standard single shot EPI diffusion weighted imaging of these areas at 7T is contaminated by severe imaging artifacts. To reduce these, we investigated a combination of reduced FOV acquisition, enabled by outer volume suppression with custom designed quadratic phase RF pulses, with existing parallel imaging and partial Fourier methods. The reduced FOV diffusion acquisition greatly reduced the level of artifacts in five human subjects (including four patients with early symptoms of dementia).
Bibek Dhital1, Robert Turner1
1Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Saxony, Germany
Standard diffusion sequences require long time to play diffusion gradients, especially for high b-values. At 7T,this compromises higher intrinsic SNR with shorter T2 relaxation. We used STEAM sequence for slice localization and EPI with parallel imaging to acquire diffusion weighted images. While STEAM-EPI loses half the signal, it still benefits from a long T1 of the tissue to achieve high b-values: parallel imaging shortens EPI echo train leading to reduced distortions. STEAM-EPI is thus, the method of choice for 7 Tesla.
Jennifer A. McNab1,2, Jonathan A. Polimeni1,2, Julien A. Cohen-Adad1,2, Lawrence L. Wald1,3
1A.A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States; 2Harvard Medical School, Boston, MA, United States; 3Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States
Sum-of-squares (SoS) is the standard method for combining multi-channel coil images. SoS implicitly assumes that the pixel intensity is a reasonable estimate of the coil sensitivity profile. While this may hold true for acquisitions with high SNR and ideal arrays, diffusion-weighted images often have low SNR. We demonstrate improved sensitivity to diffusion measures using coil sensitivity estimates from high SNR b = 0 images as well as a quick determination of the noise covariance between coil channels to improve the channel combination. This approach adds 20 s of scan time but can increase fractional anisotropy estimates, for example, by 30%.
Vibhas Deshpande1, Sudhir Ramanna2,3, David Feinberg2,3
1Siemens Medical Solutions USA., Inc., San Francisco, CA, United States; 2Advanced MRI Technologies, Sebastopol, CA, United States; 3University of California, Berkeley, CA, United States
To reduce imaging times in clinical diffusion imaging, the simultaneous image refocusing (SIR) technique can be utilized to acquire multiple slices in a single readout, thereby shortening the total scan time. With 2 simultaneously refocused echoes, an approximate acceleration factor of 1.5 can be achieved as compared to non-SIR imaging. Results showed that the image quality using the SIR sequence was comparable to the conventional EPI, non-SIR sequence. In conclusion, SIR with 2 simultaneous slices can reduce scan time in diffusion weighted imaging by a factor of 1.5 with a compromise in spatial distortions and a small penalty in SNR.
Thomas Benner1, Andre J.W. van der Kouwe1, A. Gregory Sorensen1
1Radiology, Athinoula A. Martinos Center, Charlestown, MA, United States
Subject motion is a major source of image artifacts in diffusion imaging, causing misalignment of images and erroneous values in the derived maps. A method is proposed that includes prospective motion correction as well as reacquisition of image data affected by motion. Result show that motion tracking is comparable to offline methods and that detection of images with artifacts works well. The corrected data is comparable to data acquired without subject motion at the cost of slightly increased scan time.
Zhikui Xiao1, Hao Shen1, Guang Cao1, William Scott Hoge2
1Applied Science Lab, GE Healthcare, Beijing, China; 2Radiology, Brigham and Women's Hospital, Boston, MA, United States
By adding an extra shifted b0 acquisition to the standard DTI sequence, we present a method to fuse spatial and temporal encoding to correct for both Nyquist ghosts and geometric distortion artifacts in DTI.
Oleg Posnansky1, Yuliya Kupriyanova2, N. J. Shah1,3
1Medical Imaging Physics, Institute of Neuroscience and Medicine - 4 , Forschungzentrum Juelich, Juelich, Germany; 2Medical Imaging Physics, Institute of Neuroscience and Medicine - 4, Forschungzentrum Juelich, Juelich, Germany; 3Department of Neurology, Faculty of Medicine,RWTH Aachen University, Aachen, Germany
A calibration method for diffusion-weighted imaging using a homogeneous water phantom is proposed. The key point of the method consists in finding optimised balancing times for different orientations of diffusion-encoding gradients followed by retrospective rescaling of the diffusion-weighted images. The correction protocol was applied to produce improved fractional anisotropy maps. The results demonstrate that the described scheme of systematic error reduction is a valid approach for quality control studies of gradient system performance for diffusion-weighted imaging.
15:00 4000. Reduce Blurring Effects in PROPELLER QBI - not available
Ming-Chung Chou1, Yen-Wei Cheng2, Cheng-Wen Ko1, Tzu-Chao Chuang3, Fu-Nien Wang4, Teng-Yi Huang5, Hsiao-Wen Chung2
1Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan; 2Electrical Engineering, National Taiwan University, Taipei, Taiwan; 3Electrical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan; 4Biomedical Engineering and Environmental Science, National Tsing Hua University, Hsinchu, Taiwan; 5Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
Although PROPELLER QBI was demonstrated to reduce scan time and susceptibility distortions while resolving fiber crossings, the residual phase errors in blade DWIs will cause blurring effects in reconstructed image. The purpose of this study was to conduct distortion correction by using image registration in PROPELLER EPI reconstruction, so as to further reduce susceptibility distortions in PROPELLER QBI.
Tsang-Wei Tu1,2, Matthew D. Budde3, James D. Quirk2, Sheng-Kwei Song2
1Mechanical, Aerospace and Structural Engineering, Washington University in St. Louis, Saint Louis, MO, United States; 2Radiology, Washington University in St. Louis, Saint Louis, MO, United States; 3Radiology and Imaging Science, National Institutes of Health Clinical Center, Bethesda, MD, United States
Diffusion-weighted multiple spin echo (DW-MSE) sequences have been introduced to improve DTI quality without increasing scan time by combining the images of multiple echoes. Since complex image combination can cause artifacts due to phase variations between echoes, magnitude images are often employed. But this results in a noise distribution change from Gaussian to Rician leading to a SNR decline and biased tensor estimation. Our results demonstrate that absorption-mode addition of multiple echoes obtained using the DW-MSE sequence improves SNR by nearly 50% compared to a conventional DW-SE sequence and also overcomes the problem of phase variations without Rician noise complications.
Jian Zhang1,2, Joshua Chua3, Chunlei Liu4, Shangping Feng1, Michael Moseley2
1Department of Electrical Engineering, Stanford University, Stanford, CA, United States; 2Department of Radiology, Stanford University, Stanford, CA, United States; 3Department of Neurosurgery, Stanford University, Stanford, CA, United States; 4Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, United States
Animal stroke studies with DWI are widely investigated to facilitate the development of stroke diagnosis. However, diffusion imaging on small animals at high fields is usually very challenging due to the resolution-SNR tradeoff and hardware imperfection. The widely used single shot EPI DWI technique is particularly vulnerable to these factors and tends to produce severe image artifacts. In this work, we demonstrate the implementation of the self-navigated interleaved spirals (SNAILS) technique on our 7T animal scanner. High quality DWI images can be acquired for stroke studies on rats. The preliminary diffusion tensor imaging (DTI) results are also presented.
Matthew M. Cheung1,2, Jerry S. Cheung1,2, Li Xiao1,2, April M. Chow1,2, Kannie W. Chan1,2, Ed X. Wu1,2
1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong, China; 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, China
Although DW-EPI offers high acquisition speed, it generally suffers from low spatial resolution and geometric distortion. SSFP is a possible alternative to perform diffusion imaging with higher resolution and with no distortion artifacts that is inherent in EPI. In this study, we modified the balanced SSFP sequence by adding a pair of bipolar diffusion sensitizing gradients. The diffusion effect in bSSFP sequence with a pair of bipolar diffusion gradients was formulated and DW-bSSFP experiment was performed on in vivo rat brain at 7T.
Rüdiger Stirnberg1, Tony Stöcker1, N. Jon Shah1,2
1Institute of Neuroscience and Medicine - 4, Medical Imaging Physics, Forschungszentrum Jülich GmbH, Jülich, Germany; 2Faculty of Medicine, Department of Neurology, RWTH Aachen University, Aachen, Germany
It was recently shown that a diffusion weighted Single-shot Stimulated Echo Acquisition Mode (DW ss-STEAM) pulse sequence is an alternative to the standard DW EPI at high fields. By designing dedicated variable flip angles (vFA) for accurate, advanced signal shaping without RF spoiling, more signal is utilised. A clear advantage is drawn from parallel imaging due to less phase encoding lines. The results are: EPI-comparable SNR and acquisition time without geometrical distortions at high fields. A basis is now established to potentially incorporate all transverse coherences without interferences (current investigations) promising a further general SNR multiplication of two.
Marco Lawrenz1, Martin Koch1, Jürgen Finsterbusch1
1Department of Systems Neuroscience, University Medical Center, Hamburg-Eppendorf, Hamburg, Germany
Double-wave-vector diffusion-weighted imaging is able to detect microscopic diffusion anisotropy in macroscopically isotropic samples. So far, corresponding experiments were performed on NMR systems with high performance gradient coils (>=300mT/m). Here, experiments are presented that provide evidence for the observation of the anisotropy effect on a standard whole-body MR system.
1Department of Systems Neuroscience , University Medical Center Hamburg-Eppendorf, Hamburg, Germany; 2Neuroimage Nord, University Medical Centers Hamburg-Kiel-Lübeck, Hamburg-Kiel-Lübeck, Germany
Double-wave-vector diffusion-weighting experiments where two diffusion weighting periods are applied successively in a single acquisition are a promising tool to investigate tissue microstructure, e.g. cell or compartment sizes. However, for the long gradient pulse durations required on whole-body MR systems the underlying signal modulation with the angle between the two wave vectors may be small which hampers the detectability of the effect. Here, it is shown that multiple concatenations of the two diffusion weightings in a single experiment can yield considerably higher signal modulations than expected theoretically because shorter gradient pulses are sufficient to achieve the desired diffusion weighting.
Sergio Uribe1,2, César Galindo3, Cristian Tejos, 2,4, Pablo Irarrazaval, 2,4, Steren Chabert3
1Radiology Department, Pontificia Universidad Catolica de Chile, Santiago, Chile; 2Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile; 3Biomedical Engineering Department, Universidad de Valparaiso, Valparaiso, Chile; 4Electrical Engineering Department, Pontificia Universidad Catolica de Chile, Santiago, Chile
T2 and diffusion measurements are usually acquire in different scans. In this work we propose a multi echo multi shot diffusion sequence that allows us obtaining T2 and mean diffusivity from a single scan. The multi shot approach enable short echo times for both echoes. This characteristic makes this sequence suitable to be applied in tissues with short T2. Result of in vivo experiments show an excellent correlation of T2 and mean diffusivity of the muscle compare to standard scans.
Marco Lawrenz1, Jürgen Finsterbusch1
1Department of Systems Neuroscience, University Medical Center, Hamburg-Eppendorf, Hamburg, Germany
An extension of the tensor approach to the double wave-vector experiment for multiple concatenations is presented aiming at the examination of microscopic anisotropy in tissue for fully restricted diffusion. A detailed analysis of the generalized tensor expression to the fourth order does not only hold for the characterization of arbitrary pores in an idealized environment but can still derive a microscopic anisotropy measure on the pore size level with sufficient accuracy for timing parameters compatible to whole-body MR systems. Monte Carlo simulations confirm the theoretical considerations.
Stephen Edward Jones1,2, Kenneth Sakaie
1Neuroradiology, Cleveland Clinic, Cleveland, OH, United States
Numerical computation of track density using probabalistic DWI can be inefficient, particularly for distant points. We present a method that uses a partial differential equation approach (Laplace's equation) to solve the special isotropic case of probablistic tracking. This provides a rapid solution for any two points within the brain, with arbitrary accuracy. This solution can be coupled with anisotropic probablistic tracking to obtain scalar measures of connectivity.
Angela Downing1, Daniel Rueckert2, A David Edwards, 1,3, Jo V. Hajnal1
1Robert Steiner MRI Unit, Imaging Sciences Department, MRC Clinical Sciences Centre, Hammersmith Hospital, Imperial College London, London, United Kingdom; 2Visual Information Processing Group, Department of Computing, Imperial College London, London, United Kingdom; 3Department of Paediatrics, Imaging Sciences Department, MRC Clinical Sciences Centre, Hammersmith Hospital, Imperial College London, London, United Kingdom
We present a minimal model approach to tractography using the diffusion-weighted MRI measurements to represent samples from a diffusivity profile. Using phantom data we show that it is possible to accurately reconstruct the fibre structure between regions of interest by simulating the diffusion process that gives rise to the data.
Shruti Agarwal1, Richa Trivedi2, Rakesh Kumar Gupta2, Ram Kishore Singh Rathore1
1Department of Mathematics & Statistics, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India; 2Department of Radiodiagnosis, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
Most common methods of fiber tracking rely on a knowledge based selection of ROIs on appropriate slice and then generating the fibers from there followed by cleaning and augmenting the bundle obtained. For a part of source and destination ROIs the procedure is similar. However, in practice the selection of the right ROIs and the subsequent additions and deletions are normally quite time consuming in practice and involves a considerable amount of trial and error. In this presentation we propose a principal eigenvector (e1) field segmentation using which the selection of ROIs becomes less time consuming.
Cheng Guan Koay1, Carlo Pierpaoli1, Peter J. Basser1
1NIH, Bethesda, MD, United States
In this work, we present a simple and novel generalization of Mahalanobis distance measure for the dyadics of the eigenvector for the purposes of clustering fiber tracts and fiber orientation. This approach is built upon a series of works by Koay et al. on the diffusion tensor estimation and the error propagation framework. The proposed Mahalanobis distance measure for the dyadics is the ideal measure for clustering of fiber tracts as it does not depend on ad hoc combinatorial optimization that is typical in the eigenvector-clustering techniques, which is due to the antipodal symmetry of the eigenvector.
Danilo Scelfo1,2, Laura Biagi1, Lucia Billeci1,3, Michela Tosetti1
1MR Laboratory, Stella Maris Scientific Institute, Pisa, Italy; 2Department of Physics, University of Pisa, Pisa, Italy; 3Inter-departmental Research Center E. Piaggio, University of Pisa, Pisa, Italy
There is significant interest in evaluating the performance and reliability of white matter fiber tractography algorithms. DTI-based fiber tracking gives insights into the complex architecture of the brain. However, it is well known that it presents a number of limitations, especially in presence of fiber crossing, The validation of fiber reconstruction by these different approaches remains challenging and requires suitable test phantoms. An experimental model with different fiber crossing configurations has been projected and realized (PIVOH, Phantom with Intra-Voxel Orientation Heterogeneity), in order to simulate the structural complexity of the white matter, in correspondence of fiber intersection
Nagulan Ratnarajah1, Andy Simmons2, Ali Hojjat1
1Medical Image Computing, University of Kent, Canterbury, United Kingdom; 2Institute of Psychiatry, Kings College London, United Kingdom
Probabilistic tractography algorithms differ from deterministic algorithms in that they take into account the uncertainty in fibre orientation. However, visualization of deterministic streamline trajectories is similar to the expected white matter fibre tracts, whereas the output of probabilistic methods may be harder to interpret and connectivity maps from probabilistic methods can leak into unexpected regions of white matter. In this study, we present a deterministic version of probabilistic tractography, which results in a single well defined trajectory for every major connection from a seed point using an average-curves approach. We evaluated the method on a physical-phantom and compared the results with the ground-truth.
Matthew George Liptrot1, Tim Bjørn Dyrby1
1Danish Research Centre for Magnetic Resonance (DRCMR), Copenhagen University Hospital, Hvidovre, Copenhagen, Denmark
In probabilistic streamline tractography, the choice of the number of streamlines to employ is the source of much confusion as no feasible analytical solution exists, and ensuring sufficient sampling is therefore problematic. Herein we describe an investigation into the influence that the number of streamlines imposes upon free-tracking, compare the parameters effect within Anatomical Connectivity Map generation and show how, via use of the ICE-T Framework (a recent technique to iterate conventional tractography routines), as few as 10 streamlines per voxel can be sufficient to overcome the omnipresent problem of path length dependency.
Marta Morgado Correia1,2, Guy B. Williams2
1MRC Cognition and Brain Sciences Unit, Cambridge, Cambridgeshire, United Kingdom; 2Wolfson Brain Imaging Centre, Cambridge, Cambridgeshire, United Kingdom
Diffusion MRI was the first imaging modality to allow the visualization of white matter fibre paths in vivo, and non-invasively. Tensor interpolation methods have often been used to improve the reproducibility and reliability of tractography results.
In this abstract we will introduce a new method for 3D tensor interpolation based on work by Batchelor and colleagues, and use simulated data to compare its performance to well established methodologies.
Eleftherios Garyfallidis1,2, Matthew Brett3, Vassilis Tsiaras4, George Vogiatzis5, Ian Nimmo-Smith1
1MRC Cognition and Brain Sciences Unit, Cambridge, United Kingdom; 2University of Cambridge, Cambridge, United Kingdom; 3University of California, Berkeley, United States; 4Department of Computer Science, University of Crete, Greece; 5Computer Vision Group, Toshiba Research Europe, Cambridge, United Kingdom
Identifying manually corresponding tracks in different brain tractogaphies is a very complicated task, typically requiring lots of expertise, and lots of time. Moreover different local diffusion models and different tractography algorithms generate tractographies with wide differences in numbers of tracks and in shape characteristics. We address these problems by introducing an automatic method for detecting corresponding tracks in different dMRI (diffusion weighted MRI) datasets.
Fang-Cheng Yeh1, Wen-Yih Isaac Tseng2
1Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States; 2Center for Optoelectronic Biomedicine, National Taiwan University College of Medicine, Taipei, Taiwan
We present a tractography segmentation algorithm called morphological continuity clustering (MCC), which is a fully automatic, unguided method that clusters fiber tracts without predefining the cluster number. This algorithm is based on the concept that the fibers of the same cluster share the morphological continuity, a feature used to determine whether two tracts should be grouped. The performance was evaluated on tractography with a total of 100,000 fibers tracts generated by streamline tracking method on generalized q-space imaging (GQI). The results showed that MCC is able to generate several clusters that correspond to well-known fiber tracts. Further study is needed to improve the accuracy and robustness of the proposed method.
Yogesh Rathi1,2, James Malcolm, 23, Sylvain Bouix1, C-F Westin4, Martha E. Shenton1,5
1Psychiatry, Harvard Medical School, Boston, MA, United States; 2Georgia Institute of Technology, Atlanta, GA, United States; 3Brigham and Women's Hospital, United States; 4Radiology, Harvard Medical School, Boston, MA, United States; 5VA Clinical Neuroscience Division, Boston, MA, United States
Existing methods perform model estimation independently at each voxel and tractography is performed in the next step. We use a nonlinear Kalman filter for simultaneous model estimation and tractography. The method not only provides an estimate of the model parameters, but also a confidence in the estimation in terms of the covariance matrix. We utilize measures derived from this covariance matrix to detect false positives in the tracts generated.
Virendra Radheshyam Mishra1,2, Xin Fan2, Hao Huang3,4
1Biomedical Engineering, The University of Texas at Arlington , Arlington, TX, United States; 2Advanced Imaging Research Center, The University of Texas Southwestern Medical Center , Dallas, TX, United States; 3Advanced Imaging Research Center, The University of Texas Southwestern Medical Center , Dallas, TX, United States; 4Department of Radiology, The University of Texas Southwestern Medical Center , Dallas, TX, United States
Fiber volume and fiber count are two important metrics derived from DTI tractography. However, no systematic description of the relationship between these two measures and noise or resolution has been reported so far. In this study, we measured fiber count and fiber volume of left cingulum with DTI datasets of different SNR and resolution. Our results indicate that resolution plays a more important role on both measures than SNR. With a normal range of SNR, both measures are almost constant for a normal resolution. Compared to fiber count, fiber volume is a more stable measure.
Michiel Kleinnijenhuis1,2, Markus Barth1,3, Daniel C. Alexander4, Anne-Marie van Cappellen van Walsum2,5, David Gordon Norris1,3
1Radboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands; 2Department of Anatomy, University Medical Centre St. Radboud, Nijmegen, Netherlands; 3Erwin L. Hahn Institute for Magnetic Resonance Imaging, Essen, Germany; 4Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom; 5MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, Netherlands
Diffusion tensor tractography suffers from limited spatial resolution in the reconstruction of white matter structure. Susceptibility weighted images (SWI) also shows white matter structure, but can be acquired at a much higher resolution. A method is proposed to inform the tractography algorithm with gradient information (structure tensor) of the SWI intensity. Tracking was informed by SWI by projecting the DT tracking direction onto the plane orthogonal to the first eigenvector of the structure tensor. Main pathways were largely similar for DT and SWI-informed tractography, but tracts also showed marked differences between branching patterns and tract paths.
Chunlei Liu1,2, Yi Jiang3, G. Allan Johnson3
1Brain Imaging and Analysis Center, Duke University, Durham, NC, United States; 2Radiology, Duke University, Durham, NC, United States; 3Center for In Vivo Microscopy, Duke University, Durham, NC, United States
We propose a method for tracking a magnetic network existing in the white matter. The proposed method utilizes a previously unexplored magnetic property of white matter fibers. We found that the magnetic moment of white matter varies significantly when measured at different brain orientations with respect to the external field. This orientation dependence can be modeled by an apparent susceptibly tensor. Decomposing this tensor into its eigensystem revealed a spatially coherent network. Following the orientation of the major eigenvector, we were able to map distinctive magnetic pathways in 3D. The relationship between the magnetic network and fiber pathways is discussed.
Robert Stefan Vorburger1, Carolin Reischauer1, Peter Boesiger1
1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
Bootstrap algorithms and graph theory are sophisticated methods in diffusion tensor imaging to obtain probabilistic connectivity maps in the human brain. In the present work the two methods are combined by weighting the graph edges with the statistics derived from the bootstrap approach. Hence, the resulting connectivity maps reflect not only directional probabilities but also the uncertainty in the measured data. Thereby, the time consuming bootstrap calculations have to be performed only once and can be used for different settings of tracking parameters, such as the FA threshold or curvature restriction.
Matthan W.A. Caan1,2, M. M. van der Graaff1, S. D. Olabarriaga1, C. A. Grimbergen1, L. J. van Vliet2, F. M. Vos1,2
1Radiology, Academic Medical Center, Amsterdam, North-Holland, Netherlands; 2Imaging Science and Technology, Delft University of Technology, Delft, Netherlands
In Diffusion Weighted MRI, the diffusion weighting should be high enough to facilitate fiber tracking through crossings. We propose to estimate a dual tensor model on an entire cohort with low diffusion weighting and a limited number of gradient directions. Diffusion attenuation profiles of multiple subjects are regarded as realizations of a single underlying fiber distribution. Non-rigid coregistration ensures spatial correspondence. Increased angular resolution is ensured by random subject positioning in the scanner, as well as by anatomical heterogeneity. In our dual tensor atlas, we tracked fibers which proceeded contralaterally through the decussation of the superior cerebellar peduncle.
Fang-Cheng Yeh1, Van Jay Wedeen2, Wen-Yih Isaac Tseng3
1Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States; 2MGH Martinos Center for Biomedical Imaging, Harvard Medical School, Charlestown, MA, United States; 3Center for Optoelectronic Biomedicine, National Taiwan University College of Medicine, Taipei, Taiwan
We present a deconvolution method that estimates fiber orientation distribution function (ODF) from diffusion ODF. Instead of applying deconvolution on spherical harmonic parameters, the proposed method performs deconvolution on the diffusion ODF directly, thereby extending its applicability to diffusion spectrum imaging (DSI) and generalized q-space imaging (GQI). To test the performance of the proposed method, we applied it to q-ball imaging (QBI), DSI, and GQI, with diffusion weighted images acquired by single-shell, grid, and two-shell sampling schemes, respectively. The result showed that the fiber ODFs obtained by the proposed method presented sharper contours in all tested q-space imaging method.
Vesna Prkovska1, Anna Vilanova1, Cyril Poupon2, Bart ter Haar Romeny1, Maxime Descoteaux3
1Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands; 2NeuroSpin, CEA Saclay, Gif-sur-Yvette, France; 3Computer Science, Université de Sherbrooke, Québec, Canada
This work presents a HARDI study of the classification power of different anisotropy measures. This classification aims towards separating the data into three compartments: Isotropic, Gaussian and Non-Gaussian. Afterwards the data can be simplified in the first two compartments by simpler diffusion models. To quantify the classification power of the measures, ex-vivo phantom data is used, and the findings are qualitatively illustrated on real data under different b-values and gradient sampling schemes. The benefits from the data simplification are clinically attractive due to the possibility of significantly decreasing the post-processing time of the HARDI models and faster, more intuitive visualization.
Edward S. Hui1,2, Steve H. Fung2,3, Ed X. Wu1,4
1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong, Hong Kong; 2Department of Radiology Research, The Methodist Hospital Research Institute, Houston, TX, United States; 3Department of Radiology, Weill Medical College of Cornell University, New York, United States; 4Department of Electrical & Electronic Engineering, The University of Hong Kong, Hong Kong, Hong Kong
As diffusion-weighted (DW) signal attenuation not only depends on diffusion gradient strength but also the time separation between the 2 diffusion gradients (Δ), it is important to examine the effect of Δ on the kurtosis of the water displacement profile which could be estimated by a recently proposed robust and efficient technique known as diffusion kurtosis imaging (DKI). It quantifies the kurtosis of the water diffusion profile, by acquiring DW signal at multiple b-values by varying the diffusion gradient strength at fixed Δ. The effect of Δ on kurtosis has been studies in vivo for the first time to assess its potential in teasing biological information underlying neural microstructures.
Eric Edward Sigmund1, Maxim Bester1,2, Ali Tabesh1, Matilde Inglese1, Joseph A. Helpern1
1Radiology, New York University Langone Medical Center, New York, NY, United States; 2Neuroradiology, University Hamburg-Eppendorf, Hamburg, Germany
The microstructural sensitivity of diffusion-weighted imaging is a powerful diagnostic in degenerative spinal cord (SC) disorders, and its specificity to different pathologies can be amplified with advanced protocols that exceed the Gaussian diffusion approximation. To that end, this study presents diffusional kurtosis imaging in the cervical spinal cord of healthy control subjects at 3 T. A set of diffusion tensor (MD, FA, Daxial,Dradial) and kurtosis tensor (MK, Kaxial,Kradial) metrics are derived. Diffusion and kurtosis metrics are observed to inversely correlate (e.g. low radial diffusion with high radial kurtosis), which is discussed in the context of SC microstructure.
Jing-Rebecca Li1, Cyril Poupon2, Denis Le Bihan2
1Institut national de recherche en informatique et automatique (INRIA), Rocquencourt, France; 2NeuroSpin, CEA, Saclay, France
We model diffusion in biological tissue and simulate MRI signal attenuation by solving a partial differential equation model with several diffusion compartments, coupled with appropriate interface and boundary conditions. We use a method based on heat layer potentials derived from the relevant Green's function. This method is an alternative to Monte-Carlo or finite difference based simulation methods. An advantage is that much larger time steps can be used in simulation, while preserving accuracy and stability of the numerical method.
Franck Mauconduit1, Hana Lahrech1
1Functional and Metabolic Neuroimaging - Team 5, Grenoble Institute of Neuroscience, La Tronche, France
In this study, simulated diffusion-weighted signal in a model of white matter was developed in order to study the relationship between diffusion time (tdif) and ADC values. In vivo water diffusion experiments on the corpus callosum of the rat brain were performed and compared to the simulated data. For in vivo experiments and according to our simulated results, maximal and minimal ADC values were found independent on tdif. Therefore in vivo measurements would rather be acquired with a short tdif than with a larger one, resulting in a higher Signal to Noise Ratio.
Chun-Hung Yeh1,2, Denis Le Bihan1, Jing-Rebecca Li1, Jean-Francois Mangin1, Ching-Po Lin2, Cyril Poupon1
1NeuroSpin, I2BM, CEA, Gif-sur-Yvette, France; 2National Yang-Ming University, Taipei, Taiwan
We develop a novel Monte-Carlo simulation tool dedicated to DW MR experiments by combining a Brownian dynamics simulator capable of simulating water diffusion in arbitrary geometries reproduced using meshes with a DW signal integrator emulating various MR pulse sequences. Complicated configurations mimicking neural tissue components (e.g. neurons) can be emulated, as well as tissue features (e.g. membrane permeability) and basic diffusion mechanisms in different compartments. This framework allows to bridge the gap between elementary processes and the resulting DW signal, providing a better understanding of the features observed in DW-MRI (e.g. ADC), and to optimize acquisition schemes for different applications.
Karla L. Miller1, Gwenaelle Douaud1, Saad Jbabdi1, Timothy EJ Behrens1, Jennifer A. McNab2
1FMRIB Centre, Oxford University, Oxford, Oxon, United Kingdom; 2AA Martinos Center, Massachusetts General Hospital, Charlestown, MA, United States
Despite its popularity, there is relatively little data validating diffusion tensor imaging and tractography against gold-standard histology or dissection methods. Diffusion imaging of whole, ex-vivo human brains could provide this link by allowing comparison in the same tissue. We present results obtained using diffusion-weighted spin echo (DW-SE) and steady-state free precession sequences (DW-SSFP), each with 6 hours scan time on a clinical scanner. Both methods are able to track the corticospinal tract and corpus callosum. However, tractography of DW-SSFP data produces better quality tracking due to the lower uncertainty on principal tract direction.
Edward S. Hui1,2, Steve H. Fung2,3, Ed X. Wu1,4
1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong, Hong Kong; 2Department of Radiology Research, The Methodist Hospital Research Institute, Houston, TX, United States; 3Department of Radiology, Weill Medical College of Cornell University, New York, United States; 4Department of Electrical & Electronic Engineering, The University of Hong Kong, Hong Kong, Hong Kong
Diffusion-weighted (DW) signal attenuation depends on not only the diffusion gradient strength but also the separation between the two diffusion gradients (i.e., diffusion time Δ). In this study, the effect of Δ and diffusion weighting factor b-value was examined and documented for conventional DTI by acquiring DW signals with various b-values at different Δ from normal adult rat brains in vivo.
marzieh Nezamzadeh1,2, Gerald B. Matson, 23, Yu Zhang1,2, Michael W. Weiner1,2, Norbert Schuff1,2
1radiology, University of California San Francisco, san francisco, CA, United States; 2Center for Imaging of Neurodegenerative Diseases, CIND, VA medical center, San Francisco, san francisco, CA, United States; 3Pharmaceutical Chemistry, University of California San Francisco, san francisco, CA, United States
Previously, magnetization-prepared rapid gradient-echo (MPRAGE) has been combined with diffusion encoding to achieve diffusion tensor imaging (DTI). However, an incorporation of DTI contrast in 3D-MPRAGE has not been shown before on human brain data. Furthermore, a combination of T1 and DTI weighted contrast should benefit assessment of gray/white matter boundaries, which has important implications for accurately imaging brain atrophy. The overall goal of this study was to develop multiple contrast high resolution MRI. Specifically, we show the incorporation of DTI contrast, e.g. fractional anisotropy (FA) and mean diffusivity (MD), into T1-weighted 3D-MPRAGE using simulations and experimental results from human brain at 4T.
Murat Aksoy1, Samantha Jane Holdsworth1, Stefan Tor Skare1,2, Roland Bammer1
1Department of Radiology, Stanford University, Stanford, CA, United States; 2Karolinska Institute, Stockholm, Sweden
Due to the prolonged acquisition time in DTI, the likelihood of patient motion increases. It is essential to correct for motion to assure the diagnostic quality and accuracy of tensor orientation in DTI. For interleaved sequences, such as Short-Axis Propeller-EPI, patient motion causes the b-matrix to vary between different parts of k-space. It was previously shown that correction of motion artifacts in this case requires non-linear methods. In this study, we investigated the effects of b-matrix correction on fiber tractography with high resolution DTI. Results showed that b-matrix correction is necessary to get accurate fiber tracts in moving subjects.
1Brain Imaging Research Center, Univ. of Pittsburgh and Carnegie Mellon University, Pittsburgh, PA, United States
Motion correction is critical in diffusion weighted (DW) imaging, but the motion correction quality depends on the accurate motion estimation of the DW images. However, the motion estimation of the DW images can be sensitive to the anisotropic white matter. This has been confirmed using the DW images obtained from an anesthetized and immobilized monkeys head and from a volunteers head. The error in the motion estimation was increased significantly at a higher b value such as b=2400 s/mm2. It is required to develop a new method of motion estimation that is insensitive to the white matter anisotropy.
Mariana Lazar1, Jens H. Jensen1, Joseph A. Helpern1
1Department of Radiology, New York University School of Medicine, New York, United States
In this abstract we introduce a new measure, the generalized diffusivity, to characterize diffusion in biological tissues. The generalized diffusivity include a tuning parameter,α , that allows differential weighting of diffusion paths on different length scales. For α=2, the generalized diffusivity reduces to the conventional mean diffusivity.
Junzhong Xu1, Ha-Kyu Jeong1, Mark D. Does1, Adam W. Anderson1, Li Min Chen1, John C. Gore1
1Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States
The FA dependence on diffusion time was studied using temporal diffusion spectroscopy, which employs an oscillating gradient spin echo sequence and has the ability to probe much shorter diffusion times. A clear dependence of white matter factional anisotropy on effective diffusion time has been observed in a fixed monkey brain. The results were also predicted by computer simulations. The dependence observed in this study provides a means to probe diffusion restriction and hindrance at sub-cellular length scales, e.g. intracellular structures, and may provide insights into the microstructure of biological tissues and clarify the origins of anisotropy diffusion in white matter.
Yue Li1,2, Steven M. Shea2,3, Hangyi Jiang3, Christine H. Lorenz2,3, Susumu Mori3
1Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States; 2Center for Applied Medical Imaging, Siemens Corporate Research, Baltimore, MD, United States; 3Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
Subpixel motion artifacts caused by pulsation often introduces severe artifacts in diffusion weighted images and incorrect tensor estimation. Previously fitting-based outlier rejection methods have been proposed to obtain robust tensor estimation. This presentation extended the past efforts from two aspects. First, a new non-fitting-based quality criterion was added, which outperforms the existing method when fitting becomes unstable due to multiple outliers. Second, we implemented this algorithm into Siemens Image Calculation Environment such that reacquisition of corrupted slices can occur inline. Preliminary test results showed improvements with our method and reacquisition of data in real-time reduced the presence of artifacts.
Drew Morris1, Revital Nossin-Manor1, Margot J. Taylor1, John G. Sled2,3
1Diagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada; 2Physiology Experimental Medicine, Hospital for Sick Children, Toronto, Ontario, Canada; 3Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
When processing DTI data it is unclear as to whether outlier rejection should be done before or after correction steps which involve registration and resampling. Resampling outliers can corrupt adjacent data, while detecting outliers in uncorrected data can cause false outlier detection. We investigate this problem in processing pipelines for DTI in preterm neonates. We propose a method to tackle outlier rejection and registration based corrections simultaneously.
Chiao-Chi V. Chen1, Kuan-Chi Mo1, Chen Chang1
1Functional and Micro-Magnetic Resonance Imaging Center, Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
In vivo assessment of neurogenesis may serve as an important indication of brain functionality during brain development or pathologies. The present study utilizes diffusion tensor imaging (DTI) to capture this process alive, corroborated by immunohistology.
Choukri Mekkaoui1,2, Marcel Jackowski3, Roberto Martuzzi1, Donald Dione1, Albert Sinusas1
1Yale University School of Medicine, New Haven, CT, United States; 2Harvard Medical School, Boston, MA, United States; 3University of São Paulo
Supertoroids are a novel DT-MRI representation that provides indices of diffusivity (toroidal volume:TV) and anisotropy (toroidal curvature:TC). The purpose of this study is to establish the normal myofiber structure of the left ventricle (LV) using toroid-based indices and compare to traditional diffusion indices in normal porcine hearts. These new indices showed that the LV macrostructure was heterogeneous for both diffusivity and anisotropy between segments (Septum, RV/LV junction, and Free Wall) and within levels (basal, mid-ventricular, and apical). TV and TC demonstrate that diffusivity and anisotropy measures are complimentary, which may enhance the understanding of LV macrostructure in the normal heart.
Tsang-Wei Tu1,2, Philip V. Bayly1, Sheng-Kwei Song2
1Mechanical, Aerospace and Structural Engineering, Washington University in St. Louis, Saint Louis, MO, United States; 2Radiology, Washington University in St. Louis, Saint Louis, MO, United States
Knowledge of the biomechanical properties of the spinal cord is crucial to understanding the mechanisms and damage thresholds of spinal-cord-injury (SCI). Numerical analysis, such as Finite Element Analysis (FEA), relies on accurate knowledge of the in vivo material properties to model the stress and strain fields in the spinal cord during rapid impact. In the present study, we compare the extent of SCI, evaluated using in vivo DWI, to the predictions of FEA modeling, using published values of mechanical parameters obtained in vitro. Our results support the hypothesis that that SCI injury pattern correlated with stress-strain fields predicted by FEA.
James A. Goodman1, Zhiyong Xie2
1BioImaging Center of Emphasis, Pfizer, Inc., Groton, CT, United States; 2BioImaging Center of Emphasis, Pfizer, Inc, Groton, CT, United States
Cerebral blood flow is a physiological parameter that varies within populations and is subject to significant physiological noise. In order to quantify the test/retest stability of CBF measurement via MR, arterial spin labeling was performed three times in three different imaging session on each of five aged App(+)Tg2576 mice (TG) and five age-matched controls (WT). The coefficient of variation of repeat measurements within each animal was about two times larger in the TG group than in the WT group. Since measurements from both groups were interspersed, it appears as though physiological noise was the dominant noise component in these measurements.
Ellen Brunenberg1, Erik Pelgrim1, Bart ter Haar Romeny1, Bram Platel2
1Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands; 2Biomedical Engineering, Maastricht University Medical Center, Maastricht, Netherlands
Deep Brain Stimulation of the STN for Parkinsons alleviates motor symptoms, but often causes cognitive or emotional side effects. In this abstract, we present the results of different clustering algorithms in order to separate the rat STN motor and cognitive/emotional parts. We performed k-means and graph cuts clustering on spherical harmonics coefficients for each voxel in an atlas-based ROI around the STN. Graph cuts clustering results in a medial STN cluster, which might correspond to the cognitive/emotional part of the rat STN. Future research could focus on other HARDI distance measures and on fiber tracking projections as clustering input.
Abby Ying Ding1,2, Ed X. Wu1,2
1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China; 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China
The accuracy of DTI derived parameters can directly affect the interpretation of underlying biological microstructures. However, the diffusivity measurements are likely to be confounded by the presence of vasculature. Nevertheless, little is known about to what degree blood signal from vasculature affects the diffusion quantitation. In this study, we examined the effects of hypercapnia on DTI quantification indices in anesthetized rat brains. It was found statistically significant changes occurred in all parametric DTI maps indicating that hemodynamic alterations can potentially affect the DTI indices and detection of tissue microstructures. Therefore, cautions must be taken when interpreting DTI parameters in vivo.
14:30 4047. Resolving of Crossing Pathways in the Optic Chiasm of Marmoset Monkey Using Diffusion Tractography with High Spatial and Angular Resolution - not available
Keigo Hikishima1,2, Masayuki Yamada3, Kanehiro Fujiyoshi4, Suketaka Momoshima5, Kenji Kawai1, Masaya Nakamura4, Norikazu Tamaoki1, Hideyuki Okano2
1Central Institute for Experimental Animals, Kasawaki, Kanagawa, Japan; 2Department of Physiology, Keio University; 3Fujita Health University; 4Department of Orthopaedic Surgery, Keio University; 5Department of Radiology, Keio University
The marmoset has a well-developed visual pathway; therefore, it has been used for studying the development of the optic chiasm. We performed high angular resolution diffusion imaging (HARDI) with high spatial resolution of the ex vivo optic chiasm in order to resolve the crossing pathways. We succeeded in visualizing the precise fiber structure in the optic chiasm with semidecussation, therefore ex vivo HARDI will be powerful tool for studying the neuroanatomic features of the optic chiasm.
Yong Chen1,2, Jia Zhong1,2, Walter C. Low3, Jianyi Zhang4, Xin Yu1,2
1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States; 2Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH, United States; 3Department of Neurosurgery, University of Minnesota; 4Division of Cardiology, University of Minnesota
In this study, we combined in vivo functional assessment with ex vivo characterization of myocardial structure to investigate the long-term effects of stem cell therapy on the structural and functional remodeling in post-infarct rat hearts. Our results suggest that stem cell treated hearts manifested preserved myocardial structure, which provided structural basis for improved cardiac function.
Alessandro Gozzi1, Michela Tessari1, Federica Agosta1, Lisa Dacome1, Mauro Corsi1, Angelo Bifone1
1Neuroscience CEDD, GlaxoSmithKline, Verona, Verona, Italy, Italy
Cocaine abuse is often modelled in experimental paradigms where rats are trained to self-administer the drug. However, the exact degree to which these models replicate the neurofunctional and microstructural alterations observed in neuroimaging studies of cocaine-addicts remains unknown. Here we used Diffusion Tensor Imaging to investigate white matter integrity in a rodent model of long-term, long-access self-administration of cocaine. We found substantial microstructural alterations in the frontal corpus callosum, a hallmark of reduced white matter integrity consistently observed in cocaine abusers. These findings strengthen the construct-validity of this self-administration model to investigate the neuroanatomical substrates involved in the transition from occasional drug use to chronic drug consumption.
Longchuan Li1, Todd M. Preuss2, James K. Rilling3, William D. Hopkins4, Matthew F. Glasser5, Bhargav Kumar6, Roger Nana6, Xiaodong Zhang2, Xiaoping Hu6
1Biomedical Imaging Technology Center, School of Medicine, Georgia Institute of Technology/Emory University, Atlanta, GA, United States; 2Division of Neuroscience, Yerkes National Primate Research Center, Atlanta, GA, United States; 3Center for Behavioral Neuroscience, Emory University, Atlanta, GA, United States; 4Division of Psychobiology, Yerkes National Primate Research Center, Atlanta, GA, United States; 5Department of Anthropology, Emory University, Atlanta, GA, United States; 6Department of Biomedical Engineering, Georgia Institute of Technology/Emory University, Atlanta, GA, United States
Recent studies indicate that chimpanzees show a population-level bias for the use of the right hand for certain tasks. Here we studied the chimpanzees hemispheric asymmetry in the precentral corticospinal tracts (pCST) using diffusion magnetic resonance imaging and its association with handedness. The depth of the central sulcus was also measured and their relationship with handedness and the asymmetry of the pCST were studied. The results show that handedness has an effect on the asymmetry of the central sulcus depth, but not the asymmetry of the pCST fractional anisotropy (FA). It is likely that the asymmetries of central sulcus depth and that of corticospinal FA are largely functionally independent in chimpanzees and hand dominance is related more strongly to interhemispheric differences in cortical gray matter volume than to interhemispheric differences of the corticospinal tract white matter indexed by FA.
Frank Peeters1, Dennis Rommel1, Jorge Abarca-Quinones1, Vincent Gregoire2, Thierry Duprez1
1Medical Imaging, Université Catholique de Louvain, Brussels, Belgium; 2Center for Molecular Imaging and Experimental Radiotherapy, Université Catholique de Louvain, Brussels, Belgium
The diagnostic accuracy of diffusion MRI related parameters derived from different techniques should be empirically assessed. We have performed a comparative study for the assessment of early effects of radiation therapy in a rodent tumour model (rhabdomyosarcoma in rats). Parameters obtained from DTI (2-points ADC, mono- and bi-exponential fits) and q-space imaging (tensor analysis) were compared. Our study shows that diffusion coefficients were very sensitive to radiation-induced tissue changes. Q-space analysis yielded at least the most sensitive parameter: the excess kurtosis of the distribution. The mean value and anisotropy of the tensors detected different sub-areas within irradiated tissue.
Miia Pitkonen1, Aysan Durukan2, Eric Pedrono3, Ivan Marinkovic2, Turgut Tatlisumak2, Usama Abo-Ramadan4
1Biomedicum Helsinki, Experimental MRI laboratory , Helsinki, Finland; 2Department of Neurology, Helsinki University Central Hospital, Helsinki, Finland; 3Biomedicum Helsinki, Experimental MRI Laboratory, Helsinki, Finland; 4Biomedicum Helsinki, Experimental MRI Laboratory, Helsinki, Finland
Diffusion tensor imaging can approximates the linear, planar, and tubular tensor using CL, CP, and CS. We want to characterize the evolvement of these indices following brain ischemia. We followed the evolvement of these indices in 3 cortex, subcortex, and corpus callosum. Following brain ischemia, no such systematic approach over an extended period of time, with CL, CP, and CS, has not yet been reported. Wistar rats were subjected to focal cerebral ischemia by transient suture occlusion (n = 9). They were imaged in the hyperacute (2 and 3.5 hours), acute (1, 2, and 3 days), subacute (4 days, 1, and 2 week), and in the chronic phase (4, 6, and 8 weeks) after the MCAO. The MRI measurements were performed with a 4.7 T MR Scanner. Following acute ischemia, indices indicated damage in the neuronal cell bodies and in the chronic ischemic tissue possible recovery.
Jan Scholz1, Cassandra Sampaio1, Stephen Mchugh2, David Bannerman2, Alexandr Khrapichev3, Nicola Sibson3, Heidi Johansen-Berg1
1FMRIB Centre, Oxford, United Kingdom; 2Experimental Psychology, Oxford, United Kingdom; 3Gray Institute for Radiation Oncology & Biology, Oxford, United Kingdom
Structural brain plasticity in response to experience or learning can be found even in the adult mammal brain. Here we use diffusion MRI to determine the scope and location of white matter changes in rodents which learn the morris water maze task. Comparing MRI data to histology within the same animal will potentially yield a useful association between the two. This association can then be applied to human MRI data where histology or other information about neuro-cellular changes in unavailable.
Aziz M. Ulug1, An Vo1, Miklos Argyelan1, Wynne K. Schiffer1, Lauren Tanabe2, William T. Dauer3, David Eidelberg1
1The Feinstein Institute for Medical Research, Manhasset, NY, United States; 2Columbia UNiversity, New York, United States; 3University of Michigan Medical School, Ann Arbor, MI, United States
Dystonia is a neurological disease characterized by sustained involuntary muscle contractions. Eight DYT1 heterozygous mice and six littermate controls using invivo MRI, FDG microPET and exvivo MRDTI were studied. We compared changes in mouse genecopy of DYT1 dystonia with their wild type littermate controls. We found that DYT1 mice exhibit metabolic and FA abnormalities that resemble the DYT1 patients. The correlation between striatum and cerebellum metabolic activity and the correlation between the metabolic activity and the FA abnormalities are also shown.
Elizabeth Zakszewski1,2, Nagesh Adluru1, Marina Emborg, 23, Andrew L. Alexander1,2
1Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin, Madison, WI, United States; 2Dept. of Medical Physics, University of Wisconsin, Madison, WI, United States; 3Wisconsin National Primate Research Center, University of Wisconsin, Madison, WI, United States
We use landmark-based registration methods to co-register diffusion tensor images with T1-Weighted images of the same animal taken during a Convection Enhanced Delivery (CED) study to the rhesus putamen. We then use the area of Gd-enhanced infusate at various time points as seeds to perform white-matter tractography, with the intent of visually evaluating the accuracy of the infusion.
14:00 4056. Improved Quantification of Cerebral Blood Flow Change Using Phase Information of SWI, Corrected by Arterial Oxygen Saturation - not available
Yuri Zaitsu1, Kohsuke Kudo2, Rie Yazu1, Kinya Ishizaka3, Noriyuki Fujima1, Satoshi Terae1, Makoto Sasaki2, Hiroki Shirato1
1Hokkaido University Graduate School of Medicine, Sapporo, Hokkaido, Japan; 2Advanced Medical Research Center, Iwate Medical University, Japan; 3Hokkaido University Hospital, Japan
The phase difference between vein and background tissue is able to lead oxygen saturation in vein and flow. We propose a new formula, in which arterial oxygen saturation is taken into account, to calculate venous flow change using phase information. The purpose of this study is to compare two formulas (previous studies and our proposal), in the measurements of venous flow change under the drug and physiological load, and to compare the results with cerebral blood flow change measured by arterial spin labeling (ASL) technique. The flow calculating from previous formula had no correlation with CBF changes using ASL, whereas, the flow calculating from present one had weak correlation. The flow formula corrected arterial oxygen saturation supposes to be more useful than previous formula without correction.
Jia Guo1, Eric C. Wong2
1Department of Bioengineering, University of California San Diego, La Jolla, CA, United States; 2Department of Radiology and Psychiatry, University of California San Diego, La Jolla, CA, United States
We introduced a new method to image oxygen extraction fraction noninvasively using velocity selective excitation with arterial nulling (VSEAN). Compared to the QUIXOTIC method, VSEAN has following advantages: 1) higher SNR due to more relaxed venous blood; 2) no subtraction gives higher time efficiency; 3) insensitive to physiological noise; 4) a T2 map is generated every TR from multi-echo acquisition. Sequence design details were discussed and results from a human subject were presented.
Qin Qin1,2, Peter C.M. van Zijl1,2
1Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States; 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States
Knowledge of blood transit time in major blood vessels can provide important clinical information about vascular circulation. It can also facilitate the selection of labeling delay in ASL for quantification of CBF. Here a novel method of measuring blood transit time is proposed, which used slice-selective spin labeling followed by multiple delay time points with very short interval. Transit time estimation in different blood circulation segments was demonstrated.
Jing Yuan1, Heather Ting Ma1,2, Yi-Xiang Wang1, David K.W. Yeung1, James F. Griffith1
1Department of Diagnostic Radiology and Organ Imaging, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong; 2Department of Electronic and Information Engineering, Harbin Institute of Technology Shenzhen Graduate SchoolGradu, Shenzhen, Guangdong, China
Arterial spin labeling (ASL) is having many applications outside the brain. In the abdomen, many problems arise with the traditional single shot EPI acquisition for ASL such as distortion, low spatial resolution, susceptibility artifact, Nyquist ghost, and chemical shift. A turbo field echo (TFE) acquisition with STAR labeling (STAR-TFE) was developed to overcome these problems and applied for abdominal ASL at 3T. Significant image quality improvement was achieved. STAR-TFE has comparable temporal resolution with HASTE and b-ssfp acquisition, but with lower SAR and no banding artifact. STAR-TFE should be promising for abdominal perfusion in spinal bone marrow and kidney.
Enrico De Vita1,2, David L. Thomas2,3, Matthias Günther4,5, Xavier Golay1,3
1Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, London, United Kingdom; 2Medical Physics and Bioengineering, University College London, London, United Kingdom; 3Institute of Neurology, University College London, London, United Kingdom; 4Mediri GmbH, Heidelberg, Germany; 5Fraunhofer MEVIS-Institute for Medical Image Computing, Bremen, Germany
In arterial spin labelling (ASL) acquisitions, multiple post-labelling delays (TI) are often used to quantify cerebral blood flow (CBF) without the potential errors associated with assumptions on bolus arrival time. Q2TIPS saturation is often additionally used to precisely define the temporal width of the tagged bolus and facilitate CBF estimation. However the Q2TIPS pulse train modifies tissue and blood signal via magnetisation transfer effects. Here, we examine this undesired effect in multi-TI ASL with 3D-GRASE, in particular how it alters the effectiveness of background suppression of static tissue and therefore impacts on the SNR of the ASL measurement.
Tejas Nair1, Rolf Pohmann2, Michael Gach1
1Research Imaging Facility, Nevada Cancer Institute, Las Vegas, NV, United States; 2MRT, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany
The aliasing, off-resonance saturation, and residual signal (control-label) characteristics of pulsed continuous arterial spin labeling (PCASL) were measured in a 2% agar phantom using various values of label and control RF (B1) and gradient (Gmax) amplitudes. Aliasing and off-resonance saturation for both the label and control increased with increasing B1 but decreased with increasing Gmax. The residual signal also decreased with increasing Gmax.
Marco Pimentel1, Pedro Vilela2, Inês Sousa3,4, Patricia Figueiredo3
1Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Lisbon, Portugal; 2Imaging Department, Hospital da Luz, Lisbon, Portugal; 3Instituto Superior Técnico, Lisbon, Portugal; 4Healthcare Sector, Siemens, S.A., Portugal
We developed a simple model to correct for partial volume effects (PVE's) in ASL imaging and studied its performance in the estimation of grey matter (GM) and white matter (WM) perfusion, as well as in the application of ASL to brain activation measurements in fMRI, in a group of 15 healthy subjects at 3T. Our results reveal the importance of performing an accurate segmentation in order to achieve a good correction of PVEs, which can strongly influence the measured GM to WM perfusion ratio and also the perfusion changes due to activation.
Shih Yu Cheng1, Yuan Yu Hsu2, Wan Chun Kuan3, Mei Yu Yeh1, Kun Eng Lim2, Ho Ling Liu1,4
1Medical imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan; 2Medical Imaging, Buddhist Tzu Chi General Hospital, Taipei, Taiwan; 3Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan; 4Division of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Taoyuan, Taiwan
ASL MRI using gradient-echo EPI suffers from susceptibility artifact in areas near air/tissue interfaces. Previous fMRI studies investigated the optimal slice tilt to reduce the signal dropout in those areas. Besides, parallel imaging can help by having shorter echo trains which reduces intra-voxel dephasing. This study focused on the orbitofrontal cortex region and evaluates the effects of slice angle combined with parallel imaging on ASL image quality. The results indicated that using parallel imaging could reduce the signal dropout caused by dephasing effect of susceptibility related field gradient. Parallel imaging is also preferable due to less subject to slice orientation.
Yasuhiro Fujiwara1, Hirohiko Kimura2, Tsuyoshi Matsuda3, Tomokazu Ishida1, Kyouji Higashimura1
1Radiological Center, University of Fukui Hospital, Fukui, Japan; 2Radiology, University of Fukui, Fukui, Japan; 3GE Healthcare Japan, Tokyo, Japan
The purpose of this study was to evaluate the effect of the number of post labeling delay times and averages to reproduce and minimize acquisition time for precise rCBF quantification. As result of this study, When performing pCASL at post label delay of 0.5, 1.0, 1.5s, reproducible perfusion images were obtained with sufficient SNR in the condition of 12 averages. Using 3 time points protocol, scanning time can be minimized as short as 5 minutes.
Onur Ozyurt1, Alp Dincer2, Cengizhan Ozturk1
1Bogazici University, Biomedical Engineering Institute, Istanbul, Turkey; 2Acibadem University, School of Medicine, Department of Radiology
We propose a modified version of Hrabe-Lewis model for pulsed arterial spin labeling (pASL) signal and discuss its parameter estimation in a simulation with a realistic noise data coming from in vivo ASL measurements
Samira Kazan1, Michael Chappell1,2, Mathias Gunther3, Stephen Payne1
1Biomedical Engineering, University of Oxford, Oxford, Oxfordshire, United Kingdom; 2Centre for Functional MRI of the Brain, University of Oxford, Oxford, Oxfordshire, United Kingdom; 3Department of Neurology , University of Heidelberg, Heidelberg
Dispersion of labelled blood water is a known issue in the quantification of cerebral blood flow using arterial spin labelling. A mass transport model (MTM) of the dispersion of a bolus of labelled blood within an artery has been recently presented. Here the MTM is validated by examining ASL data containing arterial signal. It is found to fit the data with lower error than alternative models. It also captured the increasing dispersion of the bolus during transit along the arterial tree, as evidenced by estimates of path length and mean flow speed.
Michael A. Chappell1, Bradley J. MacIntosh1,2, Manus J. Donahue1, Matthias Günther3,4, Peter Jezzard1, Mark W. Woolrich1
1FMRIB Centre, University of Oxford, Oxford, United Kingdom; 2Imaging Research, Sunnybrook Research Institute, Toronto, Canada; 3Department of Neurology, Universitätsklinikum Mannheim, University of Heidelberg, Mannheim, Germany; 4mediri GmbH, Heidelberg, Germany
An important artefact in ASL measurements arises from labelled water that is still intravascular (IV) at the time of imaging. One solution is the application of flow suppression. An alternative, for multi-TI ASL, is to include the IV component within the Kinetic model whilst ensuring that this component is only used where the data supports it. In this work the two alternatives were compared in both healthy subjects and patients with stenoses. The model fitting approach was found to be a viable alternative to flow suppression, making it suitable where flow suppression is not desirable or feasible.
Simon Konstandin1, Patrick Michael Heiler1, Johann Scharf2, Lothar Rudi Schad1
1Computer Assisted Clinical Medicine, Heidelberg University, Mannheim, Germany; 2Department of Neuroradiology, Heidelberg University, Mannheim, Germany
Perfusion originating from the summed supply of all brain feeding arteries is commonly assessed. In this study, a slice selective inversion was compared to a multidimensional RF pulse to label only the artery of interest. By tagging the bypass of a patient, perfusion signal only exists in the according hemisphere of the brain. The perfusion measured by these SASL methods is consistent with a standard angiography. Therefore, these presented MR techniques may in part replace the assessment of revascularization success by conventional angiography.
Jia Guo1, Eric C. Wong2
1Department of Bioengineering, University of California San Diego, La Jolla, CA, United States; 2Department of Radiology and Psychiatry, University of California San Diego, La Jolla, CA, United States
While optimized Vessel Encoded Pseudo-Continuous ASL (opt-VEPCASL) provides higher SNR efficiency, randomly-encoded VEPCASL (re-VEPCASL) may provide other benefits such as: 1) no planning or angiogram is needed; and 2) it is potentially insensitive to resonance offsets. These advantages may benefit clinical users. In this abstract, the advantages of opt-VEPCASL and re-VEPCASL are discussed, and the efficiency of random encoding is examined by simulation.
Jeroen Hendrikse1, Esben Thade Peteresen2, Soke Miang Chng2, Xavier Golay3
1Radiology, UMC Utrecht, Utrecht, Netherlands; 2National Neuroscience Institute, Singapore; 3University College London, United Kingdom
We investigate the effect of variations in the circle of Willis anatomy on the perfusion territory contributions to the deep brain structures.. Perfusion territory MRI could evaluate the deep brain structures in 119 of159 patients. In patients with a fetal type circle of Willis, there was a contribution from the ipsilateral ICA to the thalamus in all 41 hemispheres (100%), compared to 96 of the 197 hemispheres (49%) without a fetal type circle of Willis (p<0.01). In patients with a hypoplastic A1 segment, there was more often a contribution of the contralateral ICA to the ipsilateral deep brain structures.
Thomas William Okell1,2, Michael Chappell1, Matthias Günther3,4, Peter Jezzard1
1FMRIB Centre, Clinical Neurology, University of Oxford, Oxford, Oxfordshire, United Kingdom; 2Department of Medical Physics and Clinical Engineering, Oxford Radcliffe Hospitals NHS Trust, Oxford, Oxfordshire, United Kingdom; 3Faculty for Physics and Electrical Engineering, University Bremen, Bremen, Germany; 4Fraunhofer MEVIS-Institute for Medical Image Computing, Bremen, Germany
In this study we compare echo planar imaging (EPI) and 3D-GRadient and Spin Echo (3D-GRASE) readouts with a vessel encoded arterial spin labelling preparation. Comparable vascular territory maps were obtained in both cases. The 3D-GRASE images had twice the signal-to-noise ratio and reduced signal drop-out but suffered from some blurring in the slice direction despite the use of parallel acceleration in one dimension. We conclude that 3D-GRASE is a viable option for vascular territory imaging but would be improved by reduced blurring which could be achieved by using parallel acceleration in two dimensions, for example.
14:00 4072. Cerebral Autoregulation Impairment Measured at the Brain Tissue Level with Arterial Spin Labeling MRI in Patients with a Symptomatic Carotid Artery Stenosis - not available
Reinoud Pieter Harmen Bokkers1, Matthias J.P. van Osch2, H Bart van der Worp3, Gert J. de Borst4, Willem P Th M Mali1, Jeroen Hendrikse1
1Department of Radiology, UMCU, Utrecht, Netherlands; 2Department of Radiology, LUMC, Leiden, Netherlands; 3Department of Neurology, UMCU, Utrecht, Netherlands; 4Department of Vascular Surgery, UMCU, Utrecht, Netherlands
Patients with a stenosis of the internal carotid artery have a high risk of ischemic stroke. In these patients, impairment of the vasodilatory capacity of the cerebral vasculature is an important measure of the degree of hemodynamic compromise. The aim of our study was to measure the cerebral autoregulatory status of the brain tissue supplied by the individual brain feeding arteries using arterial spin labeling MRI and to compare this to healthy controls. Our results show, that ASL is able to visualize and quantify the vasodilatory capacity in the flow territories of the major cerebral arteries at brain tissue level.
Laura M. Parkes1,2, Jonathan A. Goodwin2, Andrew Irwin2, Roeland van Kerckhoven3, Richard Draijer3
1Imaging Sciences, University of Manchester, Manchester, United Kingdom; 2MARIARC, University of Liverpool, Liverpool, United Kingdom; 3Unilever Research & Development, Vlaardingen, Netherlands
The aim was to investigate the effect of high-flavonoid cocoa on CBF in a group of 15 subjects using arterial spin labeling, and determine any link between CBF and cognitive performance. We used a randomized cross-over design with 2 treatments: Cocoa soy-drink and a placebo drink, each taken for two weeks with CBF and cognitive performance measured at the end of each period. Consumption of high-flavonoid cocoa increased CBF in the temporal lobe and hippocampal regions involved in long-term memory function and decreased CBF to regions involved in working memory, in agreement with cognitive results.
Jewell Thomas1, Huiling Peng1, Tammie Benzinger2, Avi Snyder1, David Clifford1, Beau Ances1
1Neurology, Washington University in St. Louis, St. Louis, MO, United States; 2Radiology, Washington University in St. Louis, St. Louis, MO, United States
HIV causes hypoperfusion within cortical and subcortical brain structures. We used arterial spin labeling (ASL) to measure resting cerebral blood flow (rCBF) within HIV+ participants (both naïve and on stable highly active antiretroviral therapy (HAART)) and HIV- controls. HIV- controls had a significantly higher rCBF (61.7 ± 1.7 mL/100gm/min) compared to HIV+ participants (48.4 ± 1.9 mL/100gm/min). rCBF was significantly diminished in HIV+ naïve patients (44.8 ± 1.9 mL/100gm/min) compared to HIV+ subjects on stable HAART (52.6 ± 2.0 mL/100gm/min). Our results suggest that rCBF may provide a sensitive biomarker for efficacy of HAART in the brain of HIV+ participants.
Simone Chaudhary1,2, Rafal Janik1, Amy Scouten1, Adrienne Dorr1, Wayne Lee3, Graeme Schwindt1, Sandra Black1, John Sled3, Bojana Stefanovic1
1Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; 2Medical Biophysics, University of Toronto, Toronto, Ontario, Canada; 3Hospital for Sick Children, Toronto, Ontario, Canada
A number of neurodegenerative diseases are characterized by compromised cerebral hemodynamics. Cerebral blood flow (CBF) and arterial transit time have been mapped in healthy elderly, MCI, and AD via pulsed continuous ASL at varying inversion times. Two compartment theory was employed in the analysis. MCI showed a trend toward decreased CBF relative to healthy volunteers, whereas AD was associated with a pronounced, statistically significant hypoperfusion. Arterial transit time decreases suggested compensatory vasodilation in a subset of subjects.
Neville D. Gai1, Sardha L. Talagala2, John A. Butman1
1Radiology & Imaging Sciences, National Institutes of Health, Bethesda, MD, United States; 2NINDS, National Institutes of Health, Bethesda, MD, United States
3D-PULSAR and 3D-IR-PULSAR provide whole brain perfusion imaging in about 5 minutes. Quantification of CBF is done using the Buxton model in conjunction with a QUIPSS II saturation pulse to define bolus length. Measurement of the arterial blood signal (M0A)is considered the single most important factor affecting accuracy and repeatability of CBF values in such a model. We investigated repeatability across volunteers with and without this source of error. It is shown that M0A does not contribute significantly more than other sources of errors as long as parial volume and saturation effects are avoided. In addition, experiments with the same volunteers and different sessions provided average CBF values that were within 3% of each other.
Jerod Michael Rasmussen1, Tom Liu2, Bryon Mueller3, Greg Brown2, Christina Wierenga2, Gary H. Glover4
1University of California, Irvine, Irvine, CA, United States; 2University of California, San Diego; 3University of Minnesota; 4Stanford University
This study uses multiple scanners to investigate the effect of varying the number of repetitions used in CBF measurement of Gray Matter tissue (GM) and establishes recommendations for the minimum scan time necessary for a stable calculation. Data was combined across 2 traveling subjects studies and the number of repetitions used for analysis ranged from 16 to 104 in control/tag pairs. Gray Matter masked CBF statistics showed an expected inverse decrease in noise with acquisitions and converged on a recommendation of 92 repetitions for a stable CBF measurement.
Yufen Chen1, Jiongjiong Wang1, Marc Korczykowski1, Maria Fernandez-Seara2, John A. Detre1
1Center of Functional Neuroimaging, University of Pennsylvania, Philadelphia, PA, United States; 2Center for Applied Medical Research, University of Navarra, Pamplona, Navarra, Spain
Pseudo-continuous arterial spin labeling is a recent addition to the family of ASL methods that combines the high signal-to-noise ratio (SNR) of continuous methods and the lower duty cycle of pulsed methods. To date, no formal within- and across-session comparison between the methods has been performed. Here, we compare the reproducibility of three variants of ASL: continuous, pulsed and pseudo-continuous. Our results demonstrate that pCASL and PASL have the lowest degree of variations (~13%) in scans repeated after one week, pCASL also has higher temporal SNR, which makes it a favorable method for measuring cerebral blood flow.
Adolf Pfefferbaum1,2, Ajit Shankaranarayanan3, David Alsop4,5, Sandra Chanraud, 1,2, Anne-Lise Pitel2, Torsten Rohlfing1, Edith V. Sullivan2
1Neuroscience Program, SRI International, Menlo Park, CA, United States; 2Psychiatry&Behavioral Sciences, Stanford University, Stanford, CA, United States; 3MR Applied Science Laboratory, GE Healthcare, Menlo Park, CA, United States; 4Radiology, Harvard Medical School, Boston, MA, United States; 5Radiology, Beth Israel Deaconess Medical Center, Boston, m, United States
The regional distribution, laterality and reliability of volumetric arterial spin labeling (ASL) measurements of CBF in cortical, subcortical, and cerebellar regions was determined in normal volunteers. Regional CBF, normalized for global perfusion, was highly reliable when measured on separate days. There was considerable regional variability and several regions of significant lateral asymmetry. The posterior cingulate cortex had the highest perfusion and the globus pallidus the lowest, may be due to iron-induced signal attenuation. High rCBF in the posterior cingulate cortex in this task-free acquisition is consistent with its identification as a principal node of the "default mode network."
13:30 4080. Comparison Between Total CBF Values Measured by ASL and Phase Contrast Over Increased Range of CBF Values - not available
Noam Alperin1, Murat Bagci, Sang H. Lee, Lara Eftimov2, Birgit Ertl-Wagner2
1University of Miami, Miami, FL, United States; 2University of Munich, Germany
ASL utilizes the water in arterial blood as endogenous contrast agent to assess cerebral blood perfusion and therefore is becoming more commonly used. A perfusion image is generated by subtracting a tagged image from a control image, where the tagged image is acquired following the labeling of the blood upstream. The time delay between the labeling and the image acquisition is the transient time. The choice of this delay can affect the derived CBF values. This project aims to compare between measurements of total CBF obtained with ASL and phase contrast MRI. The comparison was done over a wide range of CBF values by manipulating the subjects end tidal pCO2 level. Results from this comparison suggest that the PC based tCBF values could be used for calibrations of relative ASL derived CBF values.
Yufen Chen1, jiongjiong Wang1, Marc Korczykowski1, John A. Detre1
1Center of Functional Neuroimaging, University of Pennsylvania, Philadelphia, PA, United States
Arterial transit time is a physiological parameter measured by arterial spin labeling. Look-locker (LL-FAIR) and Flow Encoded Arterial Spin Tagging (FEAST) are two ASL variants that can quantify arterial transit time. Comparison of the estimated arterial transit times show good correlation between the two methods in gray matter of major vascular regions (r=0.46, p=0.02), despite a difference of ~1s. This is because FEAST is sensitive to arterial transit time to tissue, while LL-FAIR measures the arrival of labeled blood in the imaging slice. Combination of the two can improve understanding of pathology of cerebrovascular diseases.
Keith Heberlein1, Ulrike Haberland1, Ernst Klotz1, Micahel Lell2
1Siemens AG, Healthcare Sector, Erlangen, Germany; 2Oberarzt Radiologisches Institut, Universitätsklinikum Erlangen
The porcine kidney is an effective biological phantom due to a dense capillary system, high rates of in vivo perfusion and an accessible vascular supply which is integrated easily into a flow circuit. This work demonstrates ASL based perfusion imaging and reproduces previous results based on CT dye dilution perfusion measures. A robust, stable model for multi-modality imaging of perfusion is presented.
Govind Nair1, Xiaoping P. Hu1
1Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, United States
Perfusion imaging of the cervical cord, while challenging due to anatomical constraints and pattern of blood flow, may prove to be valuable in diagnosing and evaluating pathologies like ischemia, tumor and neurodegeneration. In this study, perfusion imaging of the cervical enlargement was performed on healthy human subjects using pulsed ASL technique with varying inversion times. We estimate an arterial transit time of 2s and observed the peak perfusion signal at 4s from the inversion pulse. The quantitative spinal cord perfusion rate was determined to be 26±11 ml/100g/min, which was lower than those in the brain.
Maria Asuncion Fernandez-Seara1, Maite Aznarez-Sanado1, Franz Heukamp2, Maria Asuncion Pastor1
1Neuroscience, Center for Applied Medical Research. University of Navarra, Pamplona, Navarra, Spain; 2IESE Business School. University of Navarra
The effects on cerebral perfusion of an oral dose of the dopamine antagonist antiemetic Metoclopramide were assessed in a group of young healthy volunteers, using phase contrast imaging and arterial spin labeling perfusion MRI. Metoclopramide significantly reduced mean blood velocity and blood flow through the internal carotid arteries and cerebral blood flow in distributed areas of the cortex. However, Metoclopramide intake selectively increased perfusion in the striatum. A similar perfusion pattern has been observed in patients with Parkinson´s disease. Our results suggest that hyperperfusion in the striatum could be a very early marker of PD and that ASL perfusion MRI could aid in the early diagnosis of the disease.
Hongyu An1, Souvik Sen1, Yasheng Chen1, William Powers1, Weili Lin1
1University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
In this study, we have demonstrated that using CASL and ASE methods, CBF and OEF can be consistently measured in human under repeated air and carbogen inhalation. In agreement with previous PET study, an increase of CBF along with a reciprocal decrease of OEF, and an unchanged OMI were detected with carbogen inhalation.
John Robert Cain1, Samantha J. Mills1, Alan Jackson1, Laura M. Parkes1,2
1Imaging Science, University of Manchester, Manchester, United Kingdom; 2Biomedical Imaging Institute, University of Manchester, Manchester, United Kingdom
Four healthy subjects (aged 24-29) underwent MRI imaging, inhaling 100% O2, medical air and carbogen gas (95%O2 5%CO2). Imaging consisted of STAR ASL sequence followed by a PCA acquisition under each gas. CBF values were higher during carbogen inhalation compared to medical air with both PCA and ASL. 100% O2 CBF results were not significantly different from medical air using both methods but the difference between the ASL label and control signal (ΔM) was decreased compared to medical air and increased during CO2 inhalation. ASL was able to detect changes in CBF with equal precision to PCA CBF measurements.
Sung-Hong Park1, Yi Zhang1, Jinqi Li1, Qi Peng1, Jiongjiong Wang2, Timothy Q. Duong1
1Research Imaging Institute, Ophthalmology/Radiology, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States; 2Radiology and Neurology, University of Pennsylvania, Philadelphia, PA, United States
Mapping human retinal blood flow has not been easy with EPI-based arterial spin labeling (ASL) techniques because of significant susceptibility effects around eyes. In this study, we propose to use a combination of pseudo-continuous ASL and balanced steady state free precession (bSSFP) readout for mapping blood flow in the human retina. The results showed reproducible human retinal blood flow, free of motion artifacts, image distortion, signal drop out and bSSFP banding artifacts.
Michael H. Buonocore1, David H. Gultekin2, Michael A. Jacobs3, Steffen Sammet4, Natarajan Raghunand5, Joshua Levy6, Michael V. Knopp4
1Radiology, UC Davis Imaging Research Center, Sacramento, CA, United States; 2Memorial Sloan-Kettering Cancer Center, New York, NY, United States; 3Radiology, Johns Hopkins University, Baltimore, MD, United States; 4Radiology, Ohio State University, Columbus, OH, United States; 5Radiology, University of Arizona, Tucson, AZ, United States; 6The Phantom Laboratory, Inc., Salem, NY, United States
This study presents a new DCE-MRI phantom designed for calibration of MRI systems to be used in multi-site clinical trials. Preliminary results at four clinical sites show the ability of the phantom to reveal critical similarities but also expected and unexpected differences in the images and derived DCE-MRI parameters.
Ka-Loh Li1, Alan Jackson1, Gerard Thompson1, Xiaoping Zhu1
1Imaging Science and Biomedical Engineering, The University of Manchester, Manchester, United Kingdom
Using empirical descriptors to assess T1-weighted DCE-MRI data is easy to perform. However, the effects of MRI noise on the reliability of empirical kinetic parameters have not been systematically investigated. This study investigated the robustness of several empirical parameters to Gaussian noise under various pharmacokinetic and noisy conditions using Monte Carlo simulation. We found that area under the enhancement curves was most robust to Gaussian noise. Signal enhancement ratio is mostly sensitive to noise and pharmacokinetic conditions. The study improved our understanding of the noise effect on empirical kinetic parameters, leading to better interpretation of these parametric images.
Rajan Jain1, Hassan Bagher-Ebadian2,3, Jayant Narang1, Siamak Pourabdollah Nejad-Davarani2, Sona Sakesna1, Lonni Schultz4, Mohammad H. Asgari2, James R. Ewing2,3
1Radiology, Henry Ford Hospital, Detroit, MI, United States; 2Neurology, Henry Ford Hospital, Detroit, MI, United States; 3Physics, Oakland University, Rochester, MI, United States; 4Biostatistics and Research Epidemiology, Henry Ford Hospital, Detroit, MI, United States
In Patlak analysis, contrast agent transport is assumed to be unidirectional (from plasma space into extracellular extravascular space). Although this model has the advantage of simplicity, it is important to note that it will give inaccurate results when this assumption is incorrect as in leaky brain tumors. Using longer acquisition fit-times will probably yield overestimates of fV and underestimates of Ktrans in the leaky regions as these will fall into the non-linear part of the Patlak plot. Hence, understanding of the optimal fit-times as well as proper modeling used for Patlak analysis is important for measuring the physiologic parameters accurately.
Charles S. Springer, Jr. 1, William D. Rooney1, Xin Li1
1Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, United States
An honored method for pharmacokinetic interpretation is the Patlak Plot the popular linearization technique introduced over 25 years ago for graphical tracer data analyses. In (Dynamic-Contrast-Enhanced) DCE-MRI, the injected contrast reagent (CR) plays the tracer role. However, there are crucial differences between the molecular mechanisms underlying the detection of tracers and CRs. This contribution discusses how these differences impact the use of the Patlak Plot for the analysis of DCE-MRI data.
Anders Garpebring1, Patrik Brynolfsson1, Ronnie Wirestam2, Nils Östlund3, Mikael Karlsson1
1Radiation Sciences, Umeå University, Umeå, Sweden; 2Medical Radiation Physics, Lund University, Lund, Sweden; 3Biomedical Engineering and Informatics, Umeå University Hospital, Umeå, Sweden
Phase sensitive MRI has shown great potential for quantification of the Arterial Input Function (AIF). However, motion induced phase artefacts are problematic for in-vivo measurements and must be compensated for. The purpose of this study was to compare three different background ROI selection procedures for compensation of phase errors. Results showed that efficient correction of motion induced phase shifts requires a background ROI placed close to the vessel from which the AIF is sampled. Some further improvement can also be achieved by tracking and compensating for any in-plane motion of the vessel.
Junyu Guo1, Qing Ji1, Mary E. McCarville1, Najat C. Daw2, Wilburn E. Reddick1
1Radiological Science, St Jude Children's Research Hospital, Memphis, TN, United States; 2Department of Oncology, St Jude Children's Research Hospital, Memphis, TN, United States
A new osteosarcoma treatment protocol in our Institute includes a multiagent chemotherapy with an anti-angiogenic agent (bevacizumab). Serial DCE-MRI was performed at six different time points during neoadjuvant therapy, and a recently developed DCE-MRI data analysis method, the CPA method, was used to process the data and assess treatment response in the first eight patients. According to our preliminary results, it is feasible to assess the tumor treatment response to neoadjuvant therapy using the CPA method in DCE-MRI. Further investigation of this CPA method on a larger cohort of patients will be performed.
Caleb Roberts1,2, Ross A. Little1,2, Yvonne Watson1,2, Sha Zhao1,2, David L. Buckley3, Geoff J M Parker1,2
1Imaging Science and Biomedical Engineering, The University of Manchester, Manchester, United Kingdom, United Kingdom; 2The Biomedical Imaging Institute, The University of Manchester, Manchester, Greater Manchester, United Kingdom; 3Division of Medical Physics, University of Leeds, Leeds, United Kingdom
A major potential confound in axial 3-D dynamic contrast-enhanced MRI (DCE-MRI) studies is the blood inflow effect and therefore the choice of slice location for arterial input function (AIF) measurement within the imaging volume must be considered carefully. Using a combination of computer simulations, flow phantom and in vivo studies we describe and understand the effect of blood inflow on the measurement of the AIF. We demonstrate that reliable AIFs are achievable in 3-D DCE-MRI but the use of inflow affected AIFs in tracer kinetic modeling result in large errors in tissue microvascular parameters.
Areen Al.Bashir1,2, Gilda Hillman3, Meng Li2, Yashwanth Katkur2, E. Mark Haacke1,2
1Department of Biomedical Engineeringt, Wayne State University, Detroit, MI, United States; 2Department of Radiology, Wayne State University, Detroit, MI, United States; 3Department of Radiation Oncology, Wayne State University
DCE-MRI has been routinely used to quantify the effectiveness of new anti-angiogenic drugs on the tumor vasculature using Gd-DTPA as a contrast agent. However, this quantification is not easy. DCE has a lot of parameters that make it a very complex technique, such as finding AIF and choosing the pharmacokinetic model. Hence, in this study, we introduced the new DCE parametric maps which was calculated from Gd concentration, C(t), data. Regional analysis were preformed on 4 groups of mice treated with different dose of the anti-angiogenic drug, sunitinib, and the results compared. Our results demonstrate that DCE parametric maps have the potential to quantify the effect of new anti-angiogenic drugs on tumor and normal tissues. These findings were confirmed with histological observations.
13:30 4096. Evaluation of Tracer Kinetics Parameters in Brain Gliomas Using Combined T1W and T2*W Contrast-Enhanced Dynamic MR Imaging: Comparison with Pathological Findings - not available
Keiichi Kikuchi1, Shohei Kouno2, Hitoshi Miki1, Shogo Oda1, Teruhito Mochizuki1, Shiro Ohue2, Kenya Murase3
1Radiology, Ehime University, Toon City, Ehime, Japan; 2Neurosurgery, Ehime University, Toon City, Ehime, Japan; 3Medical Engineering, Osaka University, Suita, Osaka, Japan
We evaluated various tracer kinetics parameters of brain gliomas using combined DCE-MRI and DSC-MRI in one examination. The tracer kinetics parameters are high in grade IV gliomas; especially the K1 value has a significant correlation with MIB-1 and MVD. These parameters derived from DSC-MRI and DCE-MRI should be correlated with the tumor vascularity and/or tissue permeability, and will provide additional information for diagnosis and prediction prognosis. Our protocol, which can derive the various tracer kinetics parameters of brain tumors in one examination, will be a promising protocol to evaluate the characteristics of brain tumors.
Gerwin P. Schmidt1, Andreas Biffar, Steven P. Sourbron, Melvin D'Anastasi, Mike Notohamiprodjo, Maximilian F. Reiser, Andrea Baur-Melnyk
1Department of Radiology, University Hospitals Munich, Munich, Bavaria, Germany
The analysis of dynamic contrast-enhanced data provides reproducible quantitative perfusion parameters in healthy and pathologic bone marrow. Perfusion is strongly increased in acute osteoporotic fractures yielding areas of different perfusion parameters, potentially representing different sites of reactive and reparative process. Furthermore, perfusion parameter changes correlate with severity of osteoporosis and may serve as a tool to differentiate various stages of the disease.
Junyu Guo1, Wilburn E. Reddick1
1Radiological Science, St Jude Children's Research Hospital, Memphis, TN, United States
A DCE-MRA method is presented to provide a new way of rendering DCE-MRI data, which greatly simplifies the process for the large volume of DCE-MRI data and enables qualitative and quantitative assessment of the treatment response. The qualitative DCE-MRA method provides a simple and quick way for a radiologist to make an overall assessment of tumor response to neoadjuvant chemotherapy. This method makes it potentially possible for a radiologist to identify a likely nonresponder. The quantitative measures were evaluated and the shape of plot curves of the two patients was consistent with that from direct observation of MIP images.
Shin-Lei Peng1, Chih-Feng Chen2, Ho-Ling Liu3, Fu-Nien Wang1
1Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, Taiwan; 2Department of Radiology, Chang Gung Memorial Hospital Kaohsiung Medical Center, Kaohsiung, Taiwan, Taiwan; 3Medical Imaging and Radiological Sciences , Chang Gung University, Taoyuan, Taiwan, Taiwan
Most of the DCE-MRI studies analyzed averaged signal time curves from a tumor region in a single slice. However, the averaged signal could not totally represent the heterogeneity of the whole tumor. The goal of this study was analyzing the histogram distribution of all initial slopes of enhancement from pixel-by-pixel signal time curves and distinguishing the malignant tumor from radiation necrosis in the hand and neck neoplasms. And the results show that the histogram distribution improved the specificity of diagnosis and provided the information about the heterogeneity of tumor compositions.
Vishal Patil1, Jens H. Jensen1, Glyn Johnson1
1Radiology, NYU School of Medicine, New York, United States
Estimating the arterial input function (AIF) is the first step in most DSC and DCE MRI analyses. Problems associated with measuring an AIF in a large vessel are partially resolved by AIF measurements in normal white matter. However, an accurate relationship between relaxivity and contrast agent concentration, C, has never been determined in white matter in vivo. In this study we compared AIFs derived from blood and white matter using two relaxivity models: 1) A nonlinear model which interpolates between both short and long static dephasing regime times. 2) A linear model while only considers long dephasing times. The results demonstrate that the nonlinear model provides an accurate relationship between relaxivity and C.
Matthias C. Schabel1, Edward V R DiBella1
1Radiology/Utah Center for Advanced Imaging Research, University of Utah, Salt Lake City, UT, United States
In the presence of partial voxel blood volume, conventional quantitative methods of converting signal to concentration in DCE-MRI result in significant biases in pharmacokinetic parameter estimates. Direct modeling and nonlinear regression of signal dependence on concentration avoids these biases, giving accurate and unbiased parameter estimates.
14:30 4102. Non-Linear Contrast Agent Relaxivity and the Accuracy and Sensitivity of DCE MRI Measurements
Vishal Patil1, Glyn Johnson1
1Radiology, NYU School of Medicine, New York, United States
DCE MRI is increasingly used to determine the prognosis and diagnosis of various pathologies. The accuracy of DCE MRI parameter estimates is dependent on a variety of factors including the relationship between relaxivity and contrast agent concentration, C. Recent studies have demonstrated that relaxivity is not linearly dependent on C but is more accuratly described by a quadratic model. In this study we investigate the effect of neglecting non-linear components on DCE MRI parameter estimates derived using a Tofts/Kety model with both T1 and T2*-weighted protocols.
Hassan Bagher-Ebadian1,2, Ramesh Paudyal1, Rajan Jain3, Jayant Narang3, James Russle Ewing1,2
1Neurology, Henry Ford Hospital, Detroit, MI, United States; 2Physics, Oakland University, Rochester, MI, United States; 3Radiology, Henry Ford Hospital, Detroit, MI, United States
In spoiled gradient echo sequences, the T1-weighting of image contrast is strongly affected by a nonlinear interaction of two sequence parameters, repetition time (TR) and flip angle (á) . Since the T1 is filed dependant, optimal set of á is chosen to produce a field-dependent contrast behavior in MR imaging. Therefore, a pulse sequence with an optimal set of flip angle which provides a best Signal-to-Noise ratio would be useful in various quantitative methods. In the proposed study, a set of optimal flip angles which yield a better tissue contrast at different magnetic field strengths (3T, 7T) is determined.
Gernot Reishofer1, Karl Koschutnig2, Christian Enzinger3, Stefan Ropele3, Franz Ebner2
1Radiology, Medical University Graz, Graz, Austria; 2Neuroradiology, Medical University Graz; 3Neurology, Medical University Graz
Parameter values obtained by DSC-MRI are often overestimated compared to PET and SPECT, which is due to the high sensitivity of DSC-MRI to large vessel. Two methods for minimizing macro vessel signal are compared in this work. First, the ICA method which is based on the separation of independent flow patterns using independent component analysis and second, the ELV method which is based on clustering of parameters derived from the dynamic contrast-enhanced first-pass curve. Our results indicate that the ICA method has some advantages over the ELV method and should be preferred for minimizing macro vessel signal in DSC-MRI data.
Meng Li1, Areen Bashir1, Yanming Yu2, Yang Xuan1, Zahid Latif1, James Garbern1, Jiani Hu1, E M. Haacke1,3
1Wayne State University, Detroit, MI, United States; 2Peking University, Beijing, China; 3MRI Institute of Biomedical Research, Detroit, MI, United States
Tissue similarity map (TSM) is a new approach to reveal the brain tissue perfusion status directly from their signal intensity time course characteristics s(t) rather than indirectly through the concentration time curve c(t). It avoids the need for defining AIF as well. The purpose of this study is to use high resolution perfusion weighted MR imaging to create a tissue similarity map to demonstrate the differences in perfusion between tissues and inter-tissue. It may have immediate applications in clinic.
Renate Gruner1,2, Håkon Nordli1, Gunnar Moen1, Torfinn Taxt1,2
1Haukeland University Hospital, Bergen, Norway; 2University of Bergen, Norway
Voxel specific arterial input functions were estimated in a group of 44 healthy males using a recently published blind deconvolution approach in order to investigate how the estimated functions varied across participants and brain regions. Qualitatively, variations in arterial input functions were consistent with expectations of normal vascular supply. The quantitative differences in the arterial input functions between brain regions suggested that the functions could be useful in reducing delay and dispersion effects in cerebral flow estimates. Differences in delays and dispersion were larger within one brain region across participants, than across regions within one participant.
Anindya Sen1, Sameer Maheshwari1, Jessy J. Mouannes2, Chris Eddleman3, Sven Zuehlsdorff4, Saurabh Shah4, Timothy J. Carroll1,2
1Radiology, Northwestern University, Chicago, IL, United States; 2Biomedical Engineering, Northwestern University, Chicago, IL, United States; 3Neurological Surgery, Northwestern University; 4CMR Research and Development, Siemens Healthcare, Chicago, IL, United States
The American Heart Association has deemed the quantification of cerebral perfusion in stroke to be of paramount importance. Hence accurate automated determination of perfusion image maps are essential for analyzing the tissue of risk after an ischemic stroke event. The need for offline post-processing of Dynamic Susceotibility Contrast (DSC) images can delay the availability of time critical information (i.e. the extent of the perfusion diffusion mismatch predicts the response to intra venous thrombolysis in ischemic stroke) Therefore we have developed a inline protocol to eliminate the offline generation of quantitative perfusion maps with evaluation.
Kelvin K. Wong1,2, Hui You3, Geoffrey S. Young3,4, Stephen TC Wong1,2
1Department of Radiology, The Methodist Hospital Research Institute, Houston, TX, United States; 2Department of Radiology, Weill Cornell Medical College, New York, United States; 3Department of Radiology, Brigham and Women's Hospital, Boston, MA, United States; 4Department of Radiology, Harvard Medical School, Boston, MA, United States
Regional cerebral blood volume is a useful marker for brain tumor evaluation. However, large blood vessels also contribute to high blood volume, which may have nothing to do with tumor angiogenesis. Prior studies focused on multi-parametric methods to remove a blood vessel which is complex to implement and have a lot of assumptions in the automatic identifications. We propose a simple method to identify the regions affect by large blood vessels using a blood flow map generated by a novel deconvolution technique and successfully identifies the blood vessel contribution in the tumor blood volume map.
Yen-Peng Liao1, Yi-Ying Wu2, Yuan-Yu Hsu3, Yau-Yau Wai, 1,4, Ho-Ling Liu1,4
1Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan; 2Department of Radiology, Taichung Veterans General Hospital, Taiwan; 3Department of Medical Imaging, Buddhist Tzu Chi General Hospital, Taipei, Taiwan; 4Division of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Taoyuan, Taiwan
In DSC-MRI, the leakage of contrast agent which results in additional T1 and T2* relaxation effects in disrupted BBB causes the contamination of T2*-weighted signal. The relative CBV (rCBV) may be overestimated with uncorrected signal information. This phenomenon can be described with a theoretical model considered T1 and T2* relaxation effects and the rCBV can be corrected. Based on the model, the T1 of pre-contrast tissue measurement was an essential parameter for quantifying permeability surface area product (PS). This study provides a method for absolutely quantification of PS. The results showed comparable values to those in literatures.
Tatsuya Yamamoto1, Hidemasa Uematsu1, Hiroaki Takeuchi2, Hirohiko Kimura1
1Department of Radiology, University of Fukui, Fukui, Japan; 2Department of Neurosurgery, University of Fukui, Fukui, Japan
T1 shortening effect due to the leakage of contrast agent causes underestimation of the tumor vascularity using single-echo perfusion-weighted MR imaging. On the other hand, T2* shortening due to contrast material present in the extravascular space causes overestimation. To incorporate the effects of the extravascular compartment containing contrast material residue, pharmacokinetic modeling with two compartments: the intravascular space; and the extravascular space: is required. We demonstrate here that the combination of an alternate-echo, single shot SPIRAL acquisition and first-pass pharmacokinetic model can correct for the T1 shortening effect, as well as for the T2* shortening in order to evaluate the exact tumor vascularity of enhancing glioblastoma multiforme.
Stephan Ulmer1, Gesa Hartwigsen2, Michael Helle1, Olav Jansen1, Maximillian Hubertus Mehdorn3, Arya Nabavi3
1Institute of Neuroradiology, University Hospital of Schleswig-Holstein, Kiel, Germany; 2Department of Neurology, University Hospital of Schleswig-Holstein, Kiel, Germany; 3Department of Neurosurgery, University Hospital of Schleswig-Holstein, Kiel, Germany
Dynamic susceptibility contrast MRI (DSC-MRI) was applied in a model with an air-fluid-level and in a flow phantom to assess possible artifacts of an intraoperative setting. In 6 patients with glioblastoma multiforme iDSC-MRI was performed. In both models there were only minor distortions. In 5 patients complete removal of the lesion was already achieved by the time of iDSC-MRI. In the remaining case tumor could be depicted that demonstrated identical perfusion ratio as in the preoperatively acquired scans. DSC-MRI is technically feasable intraoperatively and enables a differentiation of residual tumor from contrast-enhancement caused by surgical manipulation in these intraoperative MRIs.
13:30 4112. Comparison of Cerebral Blood Volume and Contrast Leakage Correction Efficiency with Dynamic Susceptibility Contrast Enhanced Perfusion Imaging - not available
Hiroyuki Kabasawa1, Malancha Hore2, Patrice Hervo3, Tetsuji Tsukamoto1
1Japan Applied Science Laboratory, GE Healthcare Japan, Hino, Tokyo, Japan; 2MR Engineering, GE Healthcare, Bangalore, India; 3MR Clinical Development, GE Healthcare, Buc, France
Post-processing correction methods have been proposed to correct this contrast leakage effect in disrupted BBB and to obtain accurate CBV estimation from DSC data. The estimated leakage effect from DSC can vary with the reference time course used in the post-processing. Here, we evaluated the impact of reference time course to estimate the leakage effect using numerical simulation and clinical data. This study showed that appropriate selection of reference time course is an important factor to obtain reasonable contrast leakage index using DSC MRI. Reference time course with wider width may introduce false positive signal in leakage map.
Irène Troprès1,2, Nicolas Pannetier, 23, Sylvie D. Grand, 2,4, Alexandre Krainik, 2,4, Jean-François Le Bas, 2,4, Emmanuel L. Barbier, 23
1Unité IRM 3T, IFR1, La Tronche - Grenoble, France; 2Universite Grenoble 1, Grenoble, France; 3U836, INSERM, Grenoble, France; 4Neuroradiology, Grenoble Hospital, Grenoble, France
Estimate of relative Cerebral Blood Volume (rCBV) obtained with DSC methods suffers from contrast agent (CA) extravasation in brain tumors. The aim of this study is to compare a data processing method accounting for CA dilution with the pre-load approach. In nine patients, a DSC protocol was performed twice within the same session. A gamma-variate fit was used to compute rCBV maps, with and without considering the dilution. This study suggests that the dilution method is relevant when CA pre-load is performed and that normalization of rCBV estimates by white matter values should be handled with care.
Yi-Ying Wu1,2, Jyh-Wen Chai1, Chi-Chang Chen1, Ho-Ling Liu2,3
1Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan; 2Institute of Medical Physics and Imaging Science, Chang Gung University, Taoyuan, Taiwan; 3MRI Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan
Disruption of blood-brain barriers in brain lesions usually causes difficulty in accurate quantification if rCBV in DSC-MRI. In this study, a simulated model was proposed to evaluate the dependence of the pre-loading dose on the rCBV measurements. The results showed an underestimate of rCBV without pre-loading or with low pre-loading dose at 1.5T. The underestimation was improved with larger pre-loading dose. Significant overestimation of rCBV happened with pre-loading of contrast agents at 3.0T, particularly with higher dose and a longer TE. In conclusion, this experiment provided important evidence that how the pre-loading dose affect the accurate quantification of rCBV measurement.
15:00 4115. Modeling Relaxation Effects During Bolus Passage Through Leaky Vasculature Using the Finite Perturber Method - not available
David Bonekamp1, Barney Douglas Ward2, Richard Leigh3, Peter B. Barker1, Arvind P. Pathak1
1Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States; 2Department of Biophysics, Medical College of Wisconsin,, Milwaukee, WI, United States; 3Department of Neurology, Johns Hopkins University, Baltimore, MD, United States
Extravasation of contrast during bolus passage alters the dynamic susceptibility contrast MRI signal. Reliable quantification of microvascular parameters in common brain pathologies depends on the ability to account for effects of leaky vasculature. Analytical solutions are hampered by mathematical approximations. We extend the computational finite perturber model (FPM) by incorporating a compartmental model to simulate arterial bolus passage and contrast agent extravasation. We find that known characteristics of DSC-MRI signal curves can be successfully modeled. This approach provides a powerful framework to optimize imaging sequences and to examine the complicated interaction of pathological, physiological and biophysical phenomena that result in the observed DSC-MRI signal.
Hassan Bagher-Ebadian1,2, Jayant Narang3, James Russel Ewing1, Siamak Pourabdollah Nejad-Davarani1,4, Mohammad Hossein Asgari1, Sona Saksena3, Rajan Jain3
1Neurology, Henry Ford Hospital, Detroit, MI, United States; 2Physics, Oakland University, Rochester, MI, United States; 3Radiology, Henry Ford Hospital, Detroit, MI, United States; 4Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
The purpose of this study is comparison of Dynamic susceptibility contrast enhanced MR perfusion (DSC-MRP) and CT Perfusion (CTP) in brain tumors patients in normal as well as abnormal regions. CTP maps were calculated using the Johnson and Wilson Model and DSC-MRP maps were calculated based on conventional singular value decomposition (SVD) technique. The results imply that there is underestimation of all perfusion parameters by SVD technique as compared to CTP mostly due to the fact that DSC-MRP only measures CBV from the microvasculature as well as due to the non-linearity of arterial input function with Contrast Agent (CA) concentration.
Yi-Ling Wu1, Chien-Chung Chen1, Yi-Chun Wu1, Chia-Hao Chang1, Fu-Nien Wang1
1Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsin-Chu, Taiwan, Taiwan
Measuring Relative CBV from the recirculation part of concentration time curve is investigated on rat model. Since the first pass of DSC method is relative fast on rat, more data points could be recruited for CBV quantification in the recirculation part. The results showed better regression lines between MION CBV and recirculation CBV, and therefore the feasibility is proved in this study.
José Rufino Solera Ureña1, Salvador Olmos1
1Aragon Institute of Engineering Research, Universidad de Zaragoza, Zaragoza, Spain
In dynamic susceptibility contrast (DSC) MRI experiments, the increase in the tissue transverse relaxation rate due to the passage of a bolus of intravascular paramagnetic contrast agent is routinely calculated (up to a constant) as the logarithm of the tracer dependent MR intensity normalised to baseline intensity, assuming that T1 effects are negligible. This assumption is revisited by developing the enhancement condition for a typical GE pulse sequence and the associated enhancement angle. The systematic error associated with the usual formula is analysed. Error expressions for the blood volume and flow calculations in DSCMRI experiments are also presented and their implications discussed.
Michael R. Smith1,2, Juan Qiao1, Marina Saluzzi1,3, Richard Frayne, 1,3
1Electrical and Computer Engineering, University of Calgary, Calgary, Alberta, Canada; 2Radiology, University of Calgary, Calgary, Alberta, Canada; 3Seaman Family MR Research Centre, Foothills Hospital, Calgary, Alberta, Canada
Current filtering techniques used in dynamic susceptibility contrast (DSC) studies to remove deconvolution noise are based on characteristics of the arterial signal Ca (t) and lead to CBF maps that decrease in accuracy as the tissue mean transit time (MTT) gets smaller. Our hypothesis is that greater CBF accuracy and CBF precision can be achieved by using techniques based on characteristics of the residue function; either in the time domain R(t) or in the frequency domain R(f). Of the four techniques investigated, one approach shows the most promise. This technique uses multiple points along the tissue residue function in time and frequency domains to obtain MTT estimates, and then derives CBF using CBF = CBV / MTT where CBV is the cerebral blood volume.