ISMRM25 - Quantitative Imaging & MR Fingerprinting

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

Quantitative Imaging & MR Fingerprinting

Power Pitch

Acquisition & Reconstruction

Wednesday, 14 May 2025

Power Pitch Theatre 2

15:45 - 17:45

Moderators: Jesse Hamilton & Ali Bilgin

Session Number: PP-02

No CME/CE Credit

15:45		Screen Number: 26 1090. Modular pulse sequence design in gammaSTAR: Intuitive Development with instant Feedback and Simulations View Presentation Video A. Neisser, V. Kuhlen, S. Konstandin, M. Günther, D. Hoinkiss Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany Impact: By providing barrier-free access to pulse sequence development, our environment enhances creativity and collaboration in the research community. It encourages novel sequence ideas and broadens MRI applications by shifting the viewpoint on sequences from traditional to more creative approaches.
15:49		Screen Number: 27 1091. Reproducibility of advanced MR measures across all 3 major scanner vendors in a longitudinal 5-site multiple sclerosis study View Presentation Video I. Vavasour, A. Traboulsee, J. Oh, R. Tam, S. Kolind University of British Columbia, Vancouver, Canada Impact: CanProCo is a Canada-wide study collecting advanced brain and spinal cord MRI. Reproducibility of healthy control data was assessed to enable interpretation of longitudinal multi-site multiple sclerosis data. Variability in most MR metrics over 1 year was similar between sites.
15:51		Screen Number: 28 1092. Quantifying Free Water Content with the Look-Locker Method in MRI View Presentation Video J. Guo, C. Ying, B. Dogan, I. Pedrosa UT Southwestern Medical Center, Dallas, United States Impact: This study demonstrates a highly accurate, optimized method for quantifying water fraction using the Look-Locker sequence (qWaLL), improving artifact removal and signal homogeneity. It offers significant potential for enhancing diagnostic precision in tumor tissue characterization and clinical applications.
15:59		Screen Number: 29 1093. Improved Myelin/Axonal/Extracellular Water Separation Using Adaptive Probabilistic Subspaces and T1W-Translated Spatial Priors View Presentation Video R. Liu, Y. Li, Y. Guan, Z. Ke, S. Feng, W. Tang, Y. Li, Y. Du, Z-P Liang Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, United States Impact: This method may improve the practical utility of myelin/axonal/extracellular water fraction mapping. The integration of deep translation priors and adaptive spectral priors provides a promising framework for solving other ill-conditioned inverse problems.
16:21		Screen Number: 30 1094. Accelerated and Accurate Myocardial T1 Mapping with PENGUIN: Combining Deep Learning with Extended Phase Graph Modeling View Presentation Video C. Carvalho, A. Gaspar, R. Nunes, T. Correia Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal Impact: We propose a novel physics-based deep learning method that performs accelerated myocardial $$$T_1$$$ mapping directly from undersampled k-space acquisitions considering the Extended Phase Graph formulation, greatly improving the accuracy of the estimated $$$T_1$$$ values while shortening acquisition/reconstruction times.
16:15		Screen Number: 31 1095. QSM can distinguish hemosiderin from calcification in carotid atherosclerotic plaque: an ex vivo MRI study of carotid endarterectomy specimens View Presentation Video H. Ishimaru, A. Ishiyama, S. Okano, M. Morikawa, T. Nakano, C. Somagawa, Y. Tasaki, S. Miyazaki, R. Toya Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan Impact: By using QSM, we can avoid misdiagnosing hemosiderin in atherosclerotic plaque as calcification.
16:07		Screen Number: 32 1096. Highly-efficient simultaneous 3D radial joint T1-T2-FF mapping for isotropic resolution liver imaging at 0.55T View Presentation Video N. Garrido, C. Castillo-Passi, K. Kunze, C. Prieto, R. Botnar iHEALTH Millenium Institute, Santiago, Chile Impact: Highly-efficient 3D radial joint T1-T2 and FF mapping of the liver using low-field MRI could provide a more affordable, accessible, and comprehensive approach for liver disease assessment.
16:11		Screen Number: 33 1097. B0 navigator enables respiratory motion navigation in radial stack-of-stars liver T1 mapping View Presentation Video J. Stelter, K. Weiss, V. Spieker, J. Schnabel, D. Karampinos Technical University of Munich, Munich, Germany Impact: B0 self-navigation allows to estimate respiratory motion in acquisitions with varying contrasts and quantifies the amplitude of B0 variations, enabling self-gated reconstruction without external motion sensors. This may be useful to develop patient-specific motion correction in future studies.
16:01		Screen Number: 34 1098. Comparison of quantitative T1 and T2 brain imaging using 3D MR Fingerprinting at 0.55T, 3T, and 7T View Presentation Video Z. Wang, C. Liao, Y. Yang, X. Cao University of Arkansas for Medical Sciences, Little Rock, United States Impact: This preliminary study highlights the robustness of the novel 3D SPI-MRF with optimized protocols various field strengths and presents a potential direction for developing a general model to map quantitative data across field strengths for broader healthcare applications.
16:05		Screen Number: 35 1099. Reconstruction Fidelity of Free-Breathing Magnetic Resonance Fingerprinting (MRF) Reconstructions for Scan Time Reductions View Presentation Video M. Kretzler, J. Sun, C. Flask, M. Griswold, R. Boyacioglu Case Western Reserve University, Cleveland, United States Impact: Reducing acquisition and exam time is important for patient comfort and adoption of MRF into clinical workflows. We reduce required MRF with PT scan times in the abdomen while maintaining quantitative tissue characterization fidelity, laying groundwork for better adaptive acquisitions.
16:03		Screen Number: 36 1100. MARVEL MRF for Contrast-free Blood Volume, Microvascular Properties, and Relaxometry Mapping: Initial Tests in Volunteers and Stroke Patients View Presentation Video A. Barrier, L. Cunge, T. Coudert, A. Delphin, L. Legris, G. Oudoumanessah, L. Lamalle, F. Forbes, M. Doneva, B. Lemasson, E. Barbier, T. Christen Univ. Grenoble Alpes, Inserm, U1216, Grenoble Institut Neurosciences, GIN, Grenoble, France Impact: MARVEL MRF produces high-quality relaxation maps and non-contrast microvascular estimates in seconds from high SNR acquisitions and an interesting robustness to undersampling schemes. Once corrected for motion and shim artifacts, MARVEL could be used for the management of stroke patients.
16:19		Screen Number: 37 1101. Synthetic Image-Derived Phenotypes Using Physics-based Simulations: Predicting Variability in Subcortical Volumes View Presentation Video H. Liu, N. Priovoulos, F. Lange, G. Bhalerao, S. Smith, K. Miller, A. Hess University of Oxford, Oxford, United Kingdom Impact: This pipeline is a first step in using image synthesis to generate matched IDPs precisely. It offers a foundation for exploring protocol sensitivity in neuroimaging biomarkers and can serve as a basis for addressing cross-protocol data harmonization challenges.
15:55		Screen Number: 38 1102. Steady-State sequences with spiral data acquisition for Multi-Slice CEST MRI View Presentation Video J. Hammacher, C. Kolbitsch, P. Schuenke Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, Berlin, Germany Impact: Here, we propose steady-state CEST sequences with spiral readout to accelerate multi-slice CEST MRI while maintaining high duty-cycles and image quality.
15:57		Screen Number: 39 1103. Rapid 3D Whole-Brain High-Resolution T1 Quantification: Accelerating Standard Inversion Recovery with Stack-of-Spirals FLASH Acquisition View Presentation Video Z. Hu, D. Zhu, Q. Qin Johns Hopkins University, Baltimore, United States Impact: This study demonstrates a 3D whole-brain 1mm-resolution IR-based T₁ mapping method under 3.6min. The optimized IR technique was accelerated using a 3D SoS-TFL readout with a short presaturation time, a long echo train, as well as a large undersampling factor.
15:47		Screen Number: 40 1104. Vendor-Agnostic Joint Relaxometry and Myelin Water Fraction Mapping with B1 Correction View Presentation Video S. Fujita, Y. Jun, A. Delattre-Klauser, G. Piredda, T. Hilbert, C. Ariyurek, E. Milshteyn, Q. Liu, I. Shaik, Y. Rathi, M. Zaitsev, J-F Nielsen, C. Jaimes, P. Grant, O. Afacan, B. Gagoski, B. Bilgic Athinoula A. Martinos Center for Biomedical Imaging Center, Boston, United States Impact: A vendor-agnostic sequence for joint and rapid acquisition of T₁, T₂, and myelin water fraction maps was proposed. Along with the harmonized calibration scan, this package could be a valuable tool for multi-site/multi-vendor neuroimaging studies in adult and pediatric populations.
16:23		Screen Number: 41 1105. Flexible kt-GRAPPA-initiated compressed sensing reconstruction approach for accelerated dual-venc 5D flow imaging View Presentation Video T. Nallamothu, E. Weiss, J. Baraboo, J. Robinson, C. Rigsby, C. Roy, M. Stuber, M. Markl Northwestern Medicine, Chicago, United States Impact: The proposed reconstruction method enables accelerated dual-venc 5D flow with approximately 50% reduction in scan time, increasing feasibility for a clinical setting. Potential applications include detailed analysis of cardiovascular hemodynamics over the respiratory cycle in patients with congenital heart disease.
16:17		Screen Number: 42 1106. Accelerated T1 and T2 Mapping with Scan Specific Unsupervised Networks and Subspace Modeling View Presentation Video A. Heydari, T. H. Kim, Y. Chen, A. Ahmadi, B. Bilgic Amirkabir University of Technology, Tehran, Iran (Islamic Republic of) Impact:* Sub-MAPLE estimates T₁, T^*₂, frequency, and proton density at high acceleration rates, outperforming the state-of-the-art Joint MAPLE and conventional methods. It incorporates subspace modeling with phase priors, enabling high accuracy mapping from 15-fold accelerated acquisitions.
16:09		Screen Number: 43 1107. Respiratory triggered abdominal T2-weighted imaging for concurrent T2water mapping and PDFF quantification using RADGRASE View Presentation Video B. Toner, F. Han, S. Arberet, E. Ahanonu, K. Johnson, U. Goerke, L. Jiang, S. Zhang, R. Akhbari, G. Block, D. Martin, V. Deshpande, M. Nadar, A. Bilgin, M. Altbach The University of Arizona, Tucson, United States Impact: Abdominal T2-weighted imaging, T2_water, and PDFF quantification are important biomarkers for subjects with fatty liver disease. RADGRASE with respiratory triggering provided accurate measurements of these biomarkers through the whole abdomen in an accelerated (~ 3 min) free-breathing acquisition.
16:25		Screen Number: 44 1108. Adaptive Free-Breathing Motion-Corrected 4D Flow of Liver at 5.0T View Presentation Video R. Cao, S. Li, A. Sun, H. Zhang, B. Wang, J. Hu, N. Yang, J. Zhu, X. Zhang, J. Yuan, H. Li, H. Wang Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China Impact: The proposed motion correction method improved image quality and quantification accuracy, while reducing scan times to a clinically acceptable 6–8 minutes.
15:53		Screen Number: 45 1109. Mesoscale Myelin Water Fraction Mapping at 3T with Self-navigated Motion Correction View Presentation Video S. Fujita, Y. Jun, A. Delattre-Klauser, G. Piredda, T. Hilbert, C. Ariyurek, O. Afacan, B. Gagoski, B. Bilgic Athinoula A. Martinos Center for Biomedical Imaging Center, Boston, United States Impact: We propose MWF-QALAS for simultaneous mapping of T₁, T₂, and myelin water fraction (MWF) with self-navigated motion correction for high-fidelity multi-parametric mapping on a 3T system at the mesoscale resolution of 790 um isotropic within 8.1 minutes.
16:27		Screen Number: 46 1110. Application of Multi-Echo SSFP Sequences Using Multiple Pathways on Short T2 Mapping View Presentation Video Y. Dong, P. Polak, Z. Zhong, C. Zhao, J. Hu, B. Li, F. Fang, Y. Ye University of Washington, Seattle, United States Impact: Integrating MPME with MDI significantly improves its T2 mapping accuracy and precision, especially in the short T2 range, inspiring novel clinical applications that require high-speed 3D T2 mapping techniques.
16:31		Screen Number: 47 1111. MR Multitasking-driven Abdominal Integrated Imaging (MT-AI2) View Presentation Video J. Chen, Q. Kong, Y. Chen, D. Ling, E. Chang, A. Christodoulou, D. Li, W. Yang, Z. Fan University of Southern California, Los Angeles, United States Impact: The MT-AI2 technique has the potential to transform clinical abdominal MRI practices by enabling faster, more efficient imaging. This advancement opens new avenues for MR-guided radiation therapy planning and other MR applications in the abdomin.
16:33		Screen Number: 48 1112. Multi-echo Bloch–Siegert shift method for simultaneous B1 magnitude and phase mapping View Presentation Video M. Fushimi, K. Ikemoto, S. Kusahata, M. Sekino The University of Tokyo, Tokyo, Japan Impact: The developed sequence accelerates complex B1 mapping by enabling simultaneous acquisition of the magnitude and phase of the B1 field with equivalent accuracy to conventional methods in which these images are obtained separately, facilitating electrical property tomography.
16:29		Screen Number: 49 1113. Self-Correction of B0 Field Drift and k-space Trajectory Errors in Alternating Unbalanced SSFP for Robust R2 and R2’ Mapping View Presentation Video E. Bae, S. Oh, F. Wehrli, H. Lee Kyungpook National University, Daegu, Korea, Republic of Impact: The proposed method, which mitigates artifacts from B0 drift and trajectory mismatch in a self-correction manner, may prove to be a useful means in a wide range of neuroimaging studies seeking rapid and accurate quantifications of R2 and R2’.

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