ISSN# 1545-4428 | Published date: 19 April, 2024
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At-A-Glance Session Detail
   
Diffusion Acquisition & Microstructure
Traditional Poster
Monday, 12 May 2025
Building:   Room: Exhibition Hall
09:15 -  10:15
Session Number: T-16
No CME/CE Credit

4800. Open-Source, PNS-Constrained, and Optimized Gradient Waveform Design for Brain Diffusion Tensor Imaging
A. Hannum, M. Loecher, Q. Chen, E. Arbes, S. Littin, K. Setsompop, M. Zaitsev, D. Ennis
Stanford University, Stanford, United States
Impact: Integrating GrOpt into Pulseq enables efficient, SNR-enhanced diffusion encoding on ultra-high-performance MRI systems while managing peripheral nerve stimulation (PNS). This open-source solution makes advanced pulse sequence design accessible, thereby enabling DTI protocol consistency and utility across research settings.
4801. Does the packed impermeable sphere model explain time-dependent diffusion of brain tumors measured with clinical scanners?
K. Kamiya, M. Mikai, Y. Fuchinoue, C. Nakada, K. Murata, T. Feiweier, M. Hori, N. Sugo
Toho University, Tokyo, Japan
Impact: The tissue features dominating diffusion time dependence of tumors may vary depending on histology and may possibly deviate from the packed impermeable sphere model.
4802. Status of on-scanner gradient nonlinearity bias correction for extension to diffusion kurtosis imaging in multi-vendor setting
T. Chenevert, R. Paudyal, A. Lema-Dopico, L. Marinelli, N. Abad, L. Wilmes, L. Wen, O. Darwish, D. Biswas, R. Jafari, J. Peters, N. Hylton, S. Partridge, A. Shukla-Dave, D. Malyarenko
University of Michigan, Ann Arbor, United States
Impact: Feasibility of diffusion kurtosis parameter correction for gradient nonlinearity bias using vendor-provided on-scanner outputs is tested across three MR vendor systems in a quantitative non-Gaussian diffusion phantom. Correction integration with other DWI enhancements is found necessary for the best performance.
4803. Revealing Diffusion Frequency-Dependence in Surface-to-Volume Ratio limit using OGSE sequence on the Connectome 2.0 Scanner
J. Zheng, W. Zhong, D. Sung, J. Gerold, Q. Tian, H. Guo, S. Huang, H-H Lee
Tsinghua University, Beijing, China
Impact: We performed diffusion frequency-dependence using oscillating-gradient-spin-echo (OGSE) sequence (≤100Hz) and accurately estimated fiber radius in an anisotropic fiber phantom on the Connectome 2.0 human scanner, demonstrating the potential of in vivo microstructural imaging using OGSE.
4804. Direction-Based Latent Implicit Neural Representation for Diffusion MRI Parameters Mapping
T. Zeng, Y. Zhang, H. Wei
Shanghai Jiao Tong University, Shanghai, China
Impact: This study enables efficient and adaptable diffusion parameter mapping, potentially reducing scan times and improving diagnostic workflows. The framework's flexibility may inspire new research on dMRI applications and help scientists explore a wider range of diffusion models with limited data.
4805. Advancing Multishot EPI Reconstruction for Diffusion MRI: From Locally to Non-Locally Low-Rank Methods
Y. Dong, X. Ye, C. Li, M. J. van Osch, P. Börnert
C.J. Gorter MRI Center, Department of Radiology, LUMC, Leiden, Netherlands
Impact: This study presents a robust non-local-low-rank reconstruction technique for multi-shot EPI in diffusion MRI that achieves superior image quality and SNR. These advances provide clearer anatomical details, supporting improved diagnosis and encouraging the exploration of non-local approaches in high-resolution imaging.
4806. Designing a clinical diffusion MRI acquisition to measure white matter damage in paediatric brain tumour patients
E. Drabek-Maunder, M. Cerbone, K. Mankad, K. Aquilina, J. Dean, A. Nisbet, C. Clark
University College London, London, United Kingdom
Impact: This study demonstrates that shorter diffusion MRI protocols can reliably detect white matter abnormalities, facilitating the integration of diffusion MRI into clinical workflows. This could support personalised treatment planning in paediatric brain tumour care and improve patient outcomes.
4807. Zero-Shot Self-Supervised Distortion-Free Diffusion MRI Reconstruction
M. Y. Avci, J. Cho, Y. Jun, B. Bilgic
King's College London, London, United Kingdom
Impact: ZS-PRIME combines advanced field map estimation (PRIME) with zero-shot self-supervised training, achieving distortion-free, high-resolution multi-shot diffusion MRI from undersampled data. This obviates the dependency on external training datasets, setting a new benchmark for efficient, high-fidelity diffusion MRI.
4808. Visualizing Microstructural Changes in Aging and Cognitive Decline through SANDI Analysis in Ultra-High Gradient Diffusion Imaging
A. Bhatt, H. Lee, K-S Chan, Y. Ma, J. Ford, H-H Lee, S. Y. Huang
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, United States
Impact: This study employs ultra-high gradient diffusion MRI to probe changes in neurite density and soma fraction from aging and cognitive impairment. This approach can elucidate early damage at the microstructural level from aging and neurodegenerative diseases.
4809. Evaluating the Image Quality and Brain Microstructural Exploration of Mean Apparent Propagator-MRI—a Pilot Study
Y. Ling, J. Lv, M. Zhou, M. Su, Y. Wang, W. Chen, K. Wu, X. Zhang, Q. Shi, X. Wan, Z. Liu
Chinese University of Hong Kong (Shenzhen) School of Science and Engineering, Shenzhen, China
Impact: This study highlights the strengths and weaknesses of the MAPL, CMAP, and CMAPL algorithms in image quality and ability to reflect brain microstructural changes, offering valuable insights for future research on brain pathology and physiological changes using DWI technology
4810. Low-frequency asymptotic behaviour of the apparent diffusion coefficient when measured with approximate cosinusoidal gradient waveforms
J. Kershaw, T. Obata
National Institute of Radiological Sciences, QST, Chiba, Japan
Impact: The microstructure of a complex medium can be characterised by measuring the low-frequency limit of the ADC with OGSE-DWI. However, it is important to understand how the limitations of the gradient hardware affect interpretation of the data.
4811. The Influences of Reconstruction Methods and Number of Blades on ADC Repeatability in Free-breathing Liver DW-PROPELLER-EPI
Q. Wu, L. Liang, H. Xiong, L. Wang, Y-J Liu, C-H Liu, C-J Juan, H. Chung, H-C Chang
The Chinese University of Hong Kong, Shatin, Hong Kong
Impact: Increasing the number of blades can more significantly improve the ADC repeatability than increasing the SNR, and therefore providing an insight into optimizing the performance of free-breathing liver DW-PROPELLER-EPI.
4812. Effect of Slice-wise Bmatrix Rotation due to Intra-Volume Motion on dMRI-derived Directional Information
M. O. Irfanoglu, C. Pierpaoli
NIBIB/NIH, Bethesda, United States
Impact: This study determined that tractography studies performed on a population susceptible to large motion would benefit from using slicewise-rotated Bmatrices for a more accurate analysis.
4813. Tri-Exponential IVIM Model Identifies Microstructural and Perfusion Changes in Concussion Compared to HC
M. Bergamino, L. Ott, M. McElvogue, R. Jha, C. Moreno, B. Gutierrez, A. Stokes
Barrow Neurological Institute, Phoenix, United States
Impact: The tri-exponential IVIM model provides a view of concussion-related changes by distinguishing between different types of diffusion. This approach enables more precise detection of tissue damage and vascular alterations, especially in vulnerable regions like the corpus callosum, thalamus, and hippocampus.
4814. Deep Learning Accelerated Single Breath-hold abdominal DWI with full liver and kidney coverage
C. Fu, L. Yang, M. D. Nickel, R. Grimm, D. Weng
MR Application Development, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China
Impact: Single breath-hold DWI can shorten scanning time, reduce artifacts and improve ADC estimation, potentially improving diagnostic reliability in abdominal MRI.
4815. Improving data fitting accuracy and precision for MRI cytometry
D. Chanthavisay, X. Jiang, J. Gore, J. Xu
Institute of Imaging Science (VUIIS), Vanderbilt University Medical Center, Nashville, United States
Impact: To improve and achieve robust data fitting accuracy and precision for clinical applications.
4816. Impaired glymphatic system function in pre-cirrhotic NAFLD patients: Evidenced from DTI-ALPS
K. Shu, L. Han, P. Wu, Z. Yan, K. Liu
The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China
Impact: The results demonstrate the feasibility of DTI-ALPS, which can be used for research on glymphatic system function in NAFLD. These findings contribute to understanding the  link between the GS and NAFLD, along with its connection to cognition and clinical indicators. 
4817. Effects of varying diffusion mixing time in ex-vivo cardiac DTI: a comparison of spin echo and stimulated echo sequences
C. Munoz, A. Di Biase, K. Kunze, K. McCarthy, D. Pennell, P. Ferreira, A. Scott, S. Nielles-Vallespin
Imperial College London, London, United Kingdom
Impact: High SNR spin-echo based ex-vivo cardiac MR diffusion can provide an accurate characterization of cardiac microstructure and enable high resolution depiction of sheetlet organization in the heart.
4818. WITHDRAWN
4819. Autoregressive Masked Diffusion Transformer for Consistent Zero-shot Angular Space Super-Resolution in Diffusion MRI
M. Nan, W. Fan, J. Zou, R. Wu, S. Wang
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences , Shenzhen, China
Impact: MDiT’s ability to accurately reconstruct diffusion data under various sampling schemes without retraining could advance clinical dMRI applications, supporting efficient, high-quality dMRI imaging even under practical clinical constraints.