Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Innovations in Diffusion MRI: Systems, Sequences, and Protocol Design

Innovations in Diffusion MRI: Systems, Sequences, and Protocol Design

Digital Poster

Diffusion

Thursday, 14 May 2026

Digital Posters Row H

08:30 - 09:25

Session Number: 667-01

No CME/CE Credit

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This session focuses on recent advances in diffusion MRI driven by innovations in imaging systems, pulse sequences, and protocol design. Contributions span diffusion imaging on unconventional platforms—including low-field, ultra-high-field, and strong-gradient systems—as well as new acquisition strategies and protocol optimisation aimed at improving sensitivity, efficiency, and robustness.

Skill Level: Intermediate

		667-01-001. Mapping restriction and exchange in the healthy human brain using free gradient waveforms on the Cima.X Arthur Chakwizira, Filip Szczepankiewicz, Markus Nilsson Lund University, Lund, Sweden Impact: Restricted diffusion and water exchange can be disentangled in the human brain using free gradient waveforms on a high-performance whole-body MRI scanner, which enables more specific time-dependent diffusion MRI experiments.
		667-01-002. Probing Human Corpus Callosum Microstructure with High-Frequency OGSE on a High-Performance Gradient MRI Scanner (MAGNUS) Ruicheng Ba, Yajing Zhang, Yuhui Xiong, Su Lui, Bing Wu GE HealthCare MR Research, Beijing, China Impact: High-performance gradient OGSE enables more sensitive probing of restricted diffusion in human white matter in vivo, opening new avenues for investigating axon diameter and other microstructural features previously inaccessible at clinical field strengths, with potential to improve disease biomarker development.
		667-01-003. Bridging ultra-strong and clinical gradients for deep characterization of cortical brain microstructure Kadir Şimşek, Muhamed Barakovic, Stefano Magon, Jens Wuerfel, Derek Jones, Marco Palombo Cardiff University, Cardiff, United Kingdom Impact: This study demonstrates that SANDI and NEXI provide reproducible microstructural and exchange metrics on both ultra-strong and clinical gradients. By characterising systematic biases introduced by protocols, our findings support the translation of diffusion modelling toward robust and harmonised clinical applications.
		667-01-004. Evaluation of complex denoising strategies for in-vivo hippocampal NODDI metrics at 7T MRI Daniel Uher, Hendrik Mattern, Yi-Hang Tung, Yeo-Jin Yi, Emrah Düzel, Dorothea Hämmerer, Oliver Speck Otto von Guericke University Magdeburg, Magdeburg, Germany Impact: NORDIC denoising facilitated more reliable and reproducible hippocampal microstructure quantification at 7T, suggesting it should be preferred for hippocampal investigations, especially those with longitudinal study designs where detecting subtle changes is critical.
		667-01-005. Superior Signal Quality and Microstructural Resolution: A Quantitative Comparison of 3T and 5T Diffusion MRI zhichen wei, Miaomiao Wang, Yitong Bian, SHAOXIN xiang, Xianjun Li, jian Yang The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China Impact: 5T diffusion MRI delivers a cascading advantage, translating superior signal fidelity into more stable models and unprecedented microstructural resolution. This leap in performance significantly enhances high-precision neurosurgical planning, sensitive disease monitoring, and the accuracy of human connectome mapping.
		667-01-006. Comparing acquired & synthesized high b-DWI with deep learning phase correction on a 50-channel coil grace lee, Milica Medved, nurullah kaya, Sherry Huang, Patricia Lan, Xinzeng Wang, clyve follante, YUN JEONG STICKLE, Ambereen Yousuf, jonathan taylor, Roger Engelmann, david dao, ahmed hamimi, senthooran kalidoss, fraser robb, Arnaud Guidon, Aytekin Oto University of Chicago, Chicago IL, Chicago, United States of America Impact: When DLPC is used, high diagnostic performance can be achieved without the use of synthetic DWI and acquisition of high (> b1500s/mmm²) as recommended.
		667-01-007. Comparing Denoising Techniques for Diffusion-Relaxometry Liver MRI Data Acquired at 0.55T Jamie Robertson, Philippa Bridgen, Pierluigi Di Cio, Inka Granlund, Sarah McElroy, Jacques-Donald Tournier, Jo Hajnal, Andrada Ianus King's College London, London, United Kingdom Impact: Results show that denoising highly improves the image quality of multi-dimensional diffusion-relaxometry data of the liver at low field, with analytical techniques based on random matrix theory, and especially the recursive tensor MP-PCA approach, consistently outperforming the investigated data-driven techniques.
		667-01-008. Voxel-wise b-value calibration for diffusion MRI at ultra-low-field Ethan Nott, Francesco Padormo, James Gholam, Sean Deoni, Rui Pedro Teixeira, Steven Williams, Jo Hajnal King's College London, London, United Kingdom Impact: Diffusion MRI provides important microstructural information but is highly susceptible to static magnetic field and gradient inhomogeneity, especially in portable low-field systems. These imperfections distort ADC estimates, diminishing diffusion-weighted MRI utility with this study demonstrating an effective correction framework.
		667-01-009. Evaluation of brainstem infarction with ultra-low field portable Magnetic Resonance Imaging Konstantin Ueffing, Julian Sauer, Dimah Hasan, Annika Rieder, Clara Heller, Frederic de Beukelaer, Jule Deiters, Jörg Schulz, Johannes Schiefer, Stefanie Kammer, Manuel Dafotakis, Martin Wiesmann, Florian Holtbernd, Charlotte Weyland RWTH Aachen University Hospital, Aachen, Germany Impact: We investigated the diagnostic accuracy of ultra-lowfield portable-MRI (ULF-pMRI, 0.064T) for detecting posterior-circulation ischemic stroke after acute treatment. ULF-pMRI showed a low detection rate of infratentorial stroke lesions of posterior circulation stroke patients.
		667-01-010. Assessment of singular value thresholds for SVD-based denoising for diffusion-weighted imaging on a 0.35 T MRI-guided linacs Shiva Bhandari, Yue Yan, Tess Armstrong, Conner Ubert, Gage Redler, Benjamin Williams, David Gladstone, Joseph Weygand Dartmouth Hitchcock Medical Center, Lebanon, United States of America Impact: Careful selection of the number of singular values retained during SVD-based denoising improves SNR in low-field diffusion imaging while maintaining ADC accuracy, providing a practical means to enhance the quantitative stability of diffusion measurements on MRI-guided radiotherapy systems.
		667-01-011. Protocol Optimization for IMPULSED-Based ex-vivo Microstructural Assessment Using OGSE and PGSE Simulations Jeroen T.J. de Groot, Carlijn Jamila Guichelaar, Chantal Tax, Marielle Philippens Eindhoven University of Technology, Eindhoven, Netherlands Impact: Optimizing OGSE and PGSE waveforms within IMPULSED enhances the potential for more precise microstructure characterization. By simulating waveforms for high-gradient systems, it enables accurate cell radius, intracellular volume fraction, and diffusivity estimation for better tumor characterization and surgical guidance.
		667-01-012. An atlas-based age-dependent brain anomaly detector for NeuroMix patient data Stefan Skare, Sophie Schauman, Henric Rydén, Tim Sprenger, Enrico Avventi, Adam van Niekerk, Ola Norbeck, Annika Kits, Anna Falk Delgado Karolinska University Hospital, Stockholm, Sweden Impact: This atlas-based anomaly-detection pipeline can enable automated triage of brain MRI exams, prioritizing neuroradiologists' workflow and accelerating the identification of critical cases. The approach demonstrates that statistical methods alone can effectively pre-screen multi-contrast clinical data (NeuroMix) for lesion-related signal outliers.
		667-01-013. Diffusion-Prepared SPACE for Reliable Blood Suppression and Improved Detection of Intracranial Metastases XiaoShi Li, juan tian, Yifan Qian, Lei Wang, Wei Sheng, YinHu Zhu, Yue Qin Xi'an Daxing Hospital affiliated to Yan'an University, Xi'An, China Impact: Diffusion-prepared 3D-SPACE provides reliable blood suppression, enhances image quality and diagnostic accuracy, and offers clear clinical value for precise preoperative evaluation of intracranial metastases, supporting its use as an optimized imaging protocol.
		667-01-014. Minimal-Time Q-space Trajectory Imaging under the RICE Framework: Constrained Estimation and Retrospective Validation Jinyang Yu, Oliver Gödicke, Frederik Laun, Mark Ladd, David Bonekamp, Tristan Kuder German Cancer Research Center (DKFZ), Heidelberg, Germany Impact: By enforcing constraints for robust estimation of rotationally invariant tissue parameters, iRICE-SDP enables QTI with very short MRI protocols (about 1.5 minutes). This may enhance the reliability of tissue characterization and strengthen the path toward clinical translation.
		667-01-015. Impact of Varying Image Exclusion Criteria on Quantitative Parameters in Free-Breathing Cardiac Diffusion Tensor Imaging Keting Xu, Shihai Zhao, Yu-bo Guo, Lu Lin, Jing An, xiaoming Liu, Yuchi Liu, Christopher Nguyen, Feng Feng, Yining Wang State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College. Address: No.1, Shuaifuyuan, Dongcheng District, Beijing 100730, China Impact: This study emphasizes the necessity of standardized image exclusion criteria in cardiac DTI, demonstrating that variations in post-processing significantly impact quantitative MD values. By providing evidence-based guidance for outlier removal, this work facilitates more reliable clinical translation of diffusion biomarkers.
		667-01-016. Kidney vessel density maps using mini-low b-value diffusion in patients: an explorative experiment Wentao Hu, Fang Liu, Yan Zhou Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China Impact: This study explored the feasibility of a rapid, non-contrast MRI method to assess renal vessel density map in patients. This may allow more accessible monitoring of kidney microvascular health without gadolinium or lengthy scans.