ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

ISMRM & ISMRT 2025 Annual Meeting & Exhibition

Power Pitch

All About Diffusion

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All About Diffusion
Power Pitch
Diffusion
Tuesday, 13 May 2025
Power Pitch Theatre 1
15:45 -  17:45
Moderators: Bruno Madore & Sila Kurugol
Session Number: PP-12
No CME/CE Credit

15:45
Screen Number: 1
0693. Motion robust joint k-q reconstruction for accelerated multi-band diffusion MRI
X. Ye, K. Miller, W. Wu
Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
Impact: The developed method addresses the primary challenge in joint k-q reconstruction - subject motion, enabling robust acceleration of dMRI. This advancement facilitates translation of advanced dMRI methods to less cooperative subjects, expanding accessibility and utility of advanced dMRI in clinical setting.
15:47
Screen Number: 2
0694. Single-Channel and Channel-Combined Complex Denoising for Diffusion MRI
F. D'Antonio, S. Warrington, P. Morgan, S. Sotiropoulos
Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom
Impact: Improved denoising from single-channel complex data highlights the importance of having access to data early in reconstruction. Less susceptibility of denoising performance to reconstruction choices, as observed for some methods, is important to consider when harmonising dMRI across scanners.
15:49
Screen Number: 3
0695. Accelerated Romer-EPTI using physics-driven, joint x-q attention-network regularized reconstruction for fast mesoscale diffusion MRI
K. Tang, Z. Dong, L. Wald, F. Wang
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, United States
Impact:

The proposed physics-driven, joint spatial and q-space attention-network regularized reconstruction enables accelerated Romer-EPTI, achieving mesoscale dMRI at 500-µm isotropic resolution within 20 minutes.

15:51
Screen Number: 4
0696. Frequency-dependent diffusional kurtosis is sensitive to white matter damage following rotational mild TBI
J. Hamilton, A. Eed, K. Xu, R. Menon, A. Brown, C. Baron
Western University, London, Canada
Impact: Our results demonstrate that white matter microstructural changes are dependent on mTBI kinematics and thus impact dynamics should be considered when interpreting mTBI studies. Advanced dMRI improves microstructural specificity, which is particularly important when examining conditions with co-occurring microstructural changes.
15:53
Screen Number: 5
0697. 3D MERMAID: 3D Multishot Enhanced Recovery Motion Artifact Insensitive Diffusion sequence for sub-millimeter SNR efficient diffusion imaging
S. Feizollah, C. Tardif
McGill University, Montreal, Canada
Impact: We designed a multi-shot 3D diffusion sequence that is SNR efficient and robust to motion artifacts between shots. This sequence enables high spatial and angular resolution diffusion-weighted imaging of the whole brain in short scan times on clinical 3T systems.
15:55
Screen Number: 6
0698. Asymmetric Fiber Orientation Distribution Estimation and Response Function Calibration with an Unsupervised Deconvolution Network
D. Zhang, H. Fang, Y. Liu, F. Zong
Beijing University of Posts and Telecommunications, Beijing, China
Impact: Our method conducts the unsupervised estimation of a-fODFs and RF without the histological data. Compared with symmetric fODFs, the a-fODFs capture complex fiber patterns, providing a broader perspective for downstream tractography and white matter microstructure analysis.
15:57
Screen Number: 7
0699. Enhancing stability and speed in multidimensional MRI processing: a kernel-driven signal dictionary with pattern matching approach
J. S. Park, D. Benjamini
Multiscale Imaging and Integrative Biophysics Unit,National Institute on Aging,NIH, Baltimore, United States
Impact: We introduce a novel parameter estimation framework that reduces computational time by up to 12 times while preserving parameter map quality, allowing for efficient processing of large data in clinical settings.
15:59
Screen Number: 8
0700. Diffusion MRI harmonization by Linear scaling of Rotational Invariants of the Cumulant Expansion (LinearRICE): a multi-vendor multi-site study
K. Kamiya, R. Kurokawa, Y. Suzuki, S. Koike, N. Okada, Y. Hirano, J. Hirano, M. Hori, T. Hayashi, O. Abe
Toho University, Tokyo, Japan
Impact: We proposed a new method for retrospective harmonization of DKI-type diffusion MRI data. The proposed method outperformed the current state-of-the-art technique in a multi-vendor traveling subject dataset and can be useful for multi-institutional studies.
16:01
Screen Number: 9
0701. Highly accelerated Diffusion Spectrum Imaging (DSI) by leveraging low-rank Tensor Completion
C. Licht, S. Baete, C. Obinwa, F. Boada
Stanford University, Stanford, United States
Impact: The proposed reconstruction framework allows for higher acceleration factors to further enhance Diffusion Spectrum Imaging (DSI). Thanks to the reduced scan time, DSI could be frequently used in clinical protocols to obtain detailed anatomical information about fiber microstructure.
16:03
Screen Number: 10
0702. Microstructural characterisation of focal cortical dysplasia in paediatric epilepsy patients using clinical MRI
S. Genc, E. Macdonald-Laurs, M. Kean, J. Yang
The Royal Children's Hospital, Parkville, Australia
Impact: Our findings highlight the utility of a new imaging marker, the apparent soma radius, in characterising FCD. By combining this measure into clinical work-ups we can increase confidence in radiological diagnoses of subtle FCDs and in turn assess surgical candidacy.
16:05
Screen Number: 11
0703. Consensus tractography: decreasing algorithm dependency to improve fiber reconstructions
I. Gabusi, G. Biolo, M. Battocchio, A. Daducci
University of Verona, Verona, Italy
Impact:

We addressed the well-known algorithm dependency of tractography reconstructions and proposed a consensus-based strategy. Our solution provides clearer and more accurate white matter mapping, showing significant potential to facilitate precise findings and better support clinical applications.

16:07
Screen Number: 12
0704. Monte Carlo Simulation of Multiparameter Effects in Double Diffusion Encoding MRI
R. Trinate, D. Berry, J-P Galons, V. Galinsky, L. Frank, E. Hutchinson
The University of Arizona, Tucson, United States
Impact: Monte Carlo simulations demonstrate a promising method for studying the effects of parameters in DDE, aiding in the optimization of pulse sequences to obtain specific microstructural information and facilitating the translation to MRI scanners.
16:09
Screen Number: 13
0705. Diffusion MRI of organoids at 28.2T with 3T/m gradient strength
C. Tax, T. Nikolaeva, C. Jakobs, R. Singer, J. Pasterkamp, J. Krug
University Medical Center Utrecht, Utrecht, Netherlands
Impact: Ultra-high field MRI organoids can provide a complementary platform to human and animal imaging for validation and design of quantitative MRI. Furthermore, dMRI of organoids adds a complementary non-invasive organoid assessment method to optical and electron microscopy.
16:11
Screen Number: 14
0706. Evidence of Incoherent Fluids Flow in the Human Brain from Multidimensional Intravoxel Incoherent Motion MRI
C. Li, Y. Ge, J. Zhang
New York University Grossman School of Medicine, New York, United States
Impact: This multidimensional MRI approach reveals multiple pseudo diffusion components in the living human brain beyond traditional IVIM measurements, providing a novel framework to characterize distinct fluid dynamics and potentially advance our understanding of brain fluid transport systems.
16:13
Screen Number: 15
0707. Mean apparent propagator and neurite orientation dispersion and density imaging in distinguishing glioblastomas from solitary brain metastase
L. He, M. Chen, Y. Xu, Q. Zhang, X. Xu
Affiliated Hospital of North Sichuan Medical College, Nanchong, China
Impact: MAP-MRI and NODDI offer diagnostic value in distinguishing GBMs from SBMs, with NODDI_ODI emerging as an effective imaging marker. Combined models show promise as sensitive biomarkers in neuro-oncology, potentially enhancing treatment strategies for GBMs and SBMs.
16:15
Screen Number: 16
0708. MAP-MRI revisited: Shorter acquisitions, fast propagator anisotropy estimation, new contrasts
D. Boito, A. V. Avram, M. Herberthson, P. J. Basser, E. Özarslan
Spin Nord AB, Linköping, Sweden
Impact: This work shows that sophisticated postprocessing reduces the number of diffusion encodings needed for MAP-MRI. Together with the proposed novel contrasts, these advances should facilitate neuroimaging studies employing MAP-MRI and possibly enable new clinical applications.
16:17
Screen Number: 17
0709. Revisiting the ALPS index: Structural Bias on the Glymphatic Interpretation as revealed by post-mortem AD brains
S. Li, R. Chen, Z. Cao, Y. Ma, Q. Zhu, K. Zhu, Y. Huang, Y. Shen, Y. Shen, Z. Zhao, Z. Lin, D. Wu
Zhejiang University, Hangzhou, China
Impact: The study explored ALPS in post-mortem AD brains from the perspective of structural bias. The underlying mechanism of ALPS alternation, whether the structure or physiology matters, should be interpreted cautiously. This study provides post-mortem and in-vivo insights into the problem.
16:19
Screen Number: 18
0710. Large axon diffusion MRI modelling in the sciatic nerve in vivo
R. Boonsuth, F. Grussu, A. Passalis, M. Battiston, C. A. M. Gandini Wheeler-Kingshott, M. C. Yiannakas
NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
Impact: We demonstrate that diffusion MRI can accurately resolve axon diameter information in the sciatic nerve in vivo using Two-Axon Population (TAP) and Gamma Distribution Axon Population (GDAP) imaging. These methods provide higher intra-axonal signal fraction estimates than the Ball-and-Stick model
16:21
Screen Number: 19
0711. Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning
A. Legouhy, R. Callaghan, W. Stee, P. Peigneux, H. Azadbakht, H. Zhang
University College London, London, United Kingdom
Impact: Together with recently developed deep-learning susceptibility-induced distortion correction techniques, this work paves the way for real-time preprocessing of dMRI, facilitating its wider uptake in the clinic.
16:23
Screen Number: 20
0712. Quantifying unmyelinated axons from time-dependent radial kurtosis in brain white matter
R. Coronado-Leija, D. Novikov, E. Fieremans
New York University Grossman School of Medicine, New York, United States
Impact:

Unmyelinated axon density changes in development, aging, and neurodegenerative diseases such as multiple sclerosis. Estimation of the unmyelinated axon fraction from time dependent kurtosis could lead to new biomarkers for diagnosis and prognosis, as well as to assess remyelination. 

16:25
Screen Number: 21
0713. DIMOND++: Improving diffusion model optimization using diffusion priors
Z. Li, J. Zheng, Z. Li, Z. Wang, M. Liu, G. Ning, H. Liao, Q. Tian
Tsinghua University, Beijing, China
Impact: DIMOND++ has a high potential to transform diffusion model fitting. Its superior generalization capability and the ability to be deployed directly on any dataset will greatly enhance the clinical and neuroscientific applicability of diffusion MRI based microstructure and connectivity mapping.
16:27
Screen Number: 22
0714. Neurite Microstructure Characterization in the Mouse Brain Using Relaxation-Diffusion MRI
B. Ren, Y. Wu, Q. Tao, Y. Feng, X. Zhang
School of Biomedical Engineering, Southern Medical University, Guangzhou, China
Impact: This study demonstrated the feasibility of using rdMRI to observe brain microstructural changes during development, potentially offering diagnostic markers for age-related diseases.
16:29
Screen Number: 23
0715. Studying the effects of relaxation on estimates of white-matter microstructure with diffusion encoded measurements
A. Ordinola, M. Herberthson, E. Özarslan
Linköping University, Linköping, Sweden
Impact:

The implemented framework shows that relaxation effects greatly impact estimated micro-structure parameters in tissue, even if they are normalized by non diffusion-weighted data. Moreover, the implemented model can be employed to assess biases in previously presented frameworks

16:31
Screen Number: 24
0716. A new approach to time-dependent diffusion: Direct, time-domain measurement of the velocity autocorrelation function
T. Cai, N. Williamson, R. Ravin, M. Herbethson, E. Özarslan, P. Basser
National Institutes of Health, Bethesda, United States
Impact: Time-dependent diffusion encapsulates diffusion microstructural MRI. The conventional oscillating gradient approach, however, is limited by slew rates and relaxation. We propose a new approach that is semi-quantitative and can access a wide range of times using a longitudinal storage period.
16:33
Screen Number: 25
0717. Micron-resolution fiber mapping in brain histology independent of sample preparation
M. Georgiadis, F. auf der Heiden, H. Abbasi, L. Ettema, J. Nirschl, H. Moein Taghavi, M. Wakatsuki, A. Liu, W. Ho, M. Carlson, M. Doukas, S. Koppes, S. Keereweer, R. Sobel, K. Setsompop, C. Liao, K. Amunts, M. Axer, M. Zeineh, M. Menzel
Stanford University School of Medicine, Stanford, United States
Impact: Using scattered light, we generate micrometer maps of brain fiber orientations in animal and human histology sections, and compare to diffusion MRI. This enables time- and cost-effective studies of brain micro-architecture on new and archived sections from any sample preparation.
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