Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026

Oral

Perfusion, Flow, and Hemodynamics Across Scales

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Perfusion, Flow, and Hemodynamics Across Scales
Oral
Contrast Mechanisms
Thursday, 14 May 2026
Ballroom East
13:40 - 15:30
Moderators: Xingfeng Shao & Lirong Yan
Session Number: 604-02
CME/CE Credit Available
This session highlights recent advances in MRI methods for imaging perfusion, flow, and hemodynamics across organs and applications.
Skill Level: Advanced

13:40 Figure 604-02-001.  A flow-diffusion model of capillary oxygen transport for the estimation of venous cerebral blood volume from GE-SE signal
Stefano Zappalà, Eleonora Patitucci, James Powell, Sahar Iqbal, Fabian Küppers, N. Jon Shah, Richard Wise, Michael Germuska
Cardiff University, Cardiff, United Kingdom
Impact: The flow-diffusion model can stabilize estimations of cerebral blood volume derived directly from GE-SE EPIK MR signal decay. This sub-7-minute, non-invasive approach delivers accurate oxygenation measurements in both healthy and tumour tissue, with a clear potential for clinical translation.
13:51 Figure 604-02-002.  Cerebral hemodynamics in white matter lesions and their penumbra in older adults using 7T arterial spin labeling MRI
Summa Cum Laude
Jan Kufer, Hannah Weibley, Theodora Martin, Marta Vidorreta, John Detre, Yulin Chang, Jason Stockmann, Meher Juttukonda
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
Impact: Our results suggest that applications of optimized 7T ASL to investigate white matter hemodynamics in older adults are feasible.
14:02 Figure 604-02-003.  KIVA: Water Exchange Rate (kw) Imaging with Velocity-selective Arterial Spin Labeling
Summa Cum Laude
Chenyang Zhao, Asmit Ganguly, Ziyang Huang, Tanxin Dong, Zidong Yang, Xingfeng Shao, Danny Wang
University of Southern California, Los Angeles, United States of America
Impact: This work enables arterial spin labeling to quantify blood–brain barrier water exchange without transit-time confounds, allowing faster, more reliable assessment of BBB function.
14:13 Figure 604-02-004.  Microvascular velocity and deceleration imaging using multi-velocity-encoding multi-delay arterial spin labeling
Shota Ishida, Yuki Matta, Makoto Isozaki, Yu Ueda, Makoto Obara, Yasuhiro Fujiwara, Tetsuya Tsujikawa
Kyoto University of Medical Science, Nantan, Japan
Impact: Multi-velocity-encoding, multi-delay arterial spin labeling using an extended multiparametric framework quantifies microvascular velocity and deceleration without compromising cerebral blood flow or arterial cerebral blood volume measures. These metrics are potentially more sensitive to neurovascular pathology than conventional perfusion measures.
14:24 Figure 604-02-005.  QQ-F: A Generalized QQ-based Deep Learning Approach for Oxygen Extraction Fraction Mapping across Diverse Acquisition Schemes
Summa Cum Laude
Tian Qiu, Ada ally, Arpita Misra, Gloria Chiang, Thanh Nguyen, Susan Gauthier, Shun Zhang, Yi Wang, Junghun Cho
George Washington University, Washington, United States of America
Impact: Our proposed deep learning approach, QQ-F, eliminates the need for retraining across different measurement sampling schemes. QQ-F enables widely applicable OEF mapping in clinical settings through its ability to process a single routine MR dataset acquired with any sampling scheme.
14:35 Figure 604-02-006.  CSF or tissue: which one is the most important to suppress as background signal in ASL?
Magna Cum Laude
Zhiyi Hu, Wen Shi, Yifan Gou, Zihan Wang, Vivek Yedavalli, Doris Lin, Hanzhang Lu
Johns Hopkins University School of Medicine, Baltimore, United States of America
Impact: CSF pulsation is identified as the leading source of noise in ASL. The proposed CSF BS approach can be readily integrated into clinical ASL protocols and may enhance the reliability of perfusion imaging in both research and clinical settings.
14:46 Figure 604-02-007.  Influence of pCASL labeling duration on blood-to-CSF water exchange measurements: better SNR and proof of direct exchange
Helena Durrant, Nina Fultz, Emiel Roefs, Lydiane Hirschler, Matthias van Osch, Lena Vaclavu
C.J. Gorter MRI Center, Leiden University Medical Center, Netherlands
Impact: This work suggests that extended labeling durations offer enhanced sensitivity for ASL-based measurements of blood-to-CSF water exchange. Moreover, the findings shed light on the routes of water transport, supporting the interpretation of a direct blood-to-CSF pathway.
14:57 Figure 604-02-008.  High-resolution 3D Manganese-enhanced MRI for the Detection of Viable Myocardium in a Post-Infarct Sheep Model
Magna Cum Laude
Alexis Rotondi, Julie Magat, Fanny Vaillant, Nestor Pallares-Lupon, Richard Walton, Olivier Bernus, bruno Quesson
Univ. Bordeaux, Bordeaux, France
Impact: High-resolution MEMRI enables non-invasive detection of viable myocardium within post-infarct scars, improving risk assessment arrhythmia without requiring invasive contact catheter mapping. This technique can guide targeted therapies and unlock research into arrhythmogenic substrates previously inaccessible with conventional LGE imaging methods.
15:08 Figure 604-02-009.  Peri-nidal Hypoperfusion on Multi-Delay ASL Is Associated with Epilepsy in Unruptured Brain Arteriovenous Malformation
Xiaoqian Li, Chunxue Wu, Yayan Yin, Boyan Xu, Tao Wu, Qin Qin, Jie Lu
Xuanwu Hospital, Capital Medical University, Beijing, China
Impact: This study indicates that multi-delay ASL can visualize the steal phenomenon in peri-nidal area of AVM-related epilepsy, potentially enabling intervention monitoring and personalized management. It offers a non-invasive tool for prognosis and optimizing treatment timing.
15:19 Figure 604-02-010.  Arterial Spin Labeling MRI for Bladder Cancer: Correlation with Histopathology and Comparison with DCE-MRI
Erjia Guo, Li Chen, Gumuyang Zhang, Zhengyu Jing, Hao Sun, Jinxia ZHU, Bernd Kuehn
Peking Union Medical College Hospital, Beijing, China
Impact: Non-invasive and quantitative arterial spin labeling is a valuable technique for bladder cancer evaluation by providing tumor perfusion that reflects tumor aggressiveness, while achieving comparable performance to DCE-MRI for detecting muscle-invasive bladder cancer.

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