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

Oral

Cutting-Edge Techniques for Intracranial Artery Visualization

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Cutting-Edge Techniques for Intracranial Artery Visualization
Oral
Neuro A
Wednesday, 13 May 2026
Ballroom East
13:40 - 15:30
Moderators: Matthijs de Buck & Yasutaka Fushimi
Session Number: 504-03
No CME/CE Credit
This session highlights blood-vessel imaging techniques that enable direct visualization of intracranial arteries.
Skill Level: Advanced

13:40 Figure 504-03-001.  Assessment of cerebrovasculature using automated 3D Cerebrovascular measurement in MRA
Abdul-Mojeed ILYAS, Adeleke MARADESA, Jamal BANZI, Jianpan Huang, Ka Fung Henry Mak, Kannie W. Y. Chan
Hong Kong Centre for Cerebro-cardiovascular Health Engineering (COCHE), Hong Kong, Hong Kong
Impact: Our vasculature measurement approach provides reproducible, 3D-vasculature biomarkers from Time of Flight (TOF) MR angiography for early cerebrovascular changes detection, thereby advancing scalable neurovascular research and clinical workflows
13:51 Figure 504-03-002.  Automatic and robust 3D vessel segmentation in time-of-flight magnetic resonance images
Summa Cum Laude
Chiara Mauri, Allison McKenzie, Emma Yeon, Cole Analoro, Xiangrui Zeng, Divya Varadarajan, Jonathan Polimeni, Yaël Balbastre, Malte Hoffmann, Bruce Fischl
Massachusetts General Hospital and Harvard Medical School, Boston, United States of America
Impact: The proposed method enables accurate and robust 3D vessel segmentation in time-of-flight MRA images across diverse vendors, field strengths, and resolutions. It may facilitate whole-brain vascular mapping, support analyses of inter-individual vascular variability, and enhance interpretation of functional MRI data.
14:02 Figure 504-03-003.  Non-contrast Enhanced MR Angiography using Turbo Velocity-selective Arterial Spin Labeling during the Steady State
Chenyang Zhao, Tanxin Dong, Ziyang Huang, Asmit Ganguly, Danny Wang
University of Southern California, Los Angeles, United States of America
Impact: This work enables rapid, non-contrast whole-brain angiography with enhanced visualization of small vessels, allowing time-efficient assessment of both intra- and extracranial vasculature without contrast agents.
14:13 Figure 504-03-004.  Improved Distal Vessel Depiction in 3D EPI TOF-MRA Using TONE-Based Water Excitation
Wei Liu, Nicolas Gross-Weege, Jin Jin, Marcel Dominik Nickel, David Grodzki
MR Research & Clinical Translation, Siemens Healthineers AG, Erlangen, Germany
Impact: The TONE-based water-excitation pulse reduces saturation artifacts and provides robust fat suppression in TOF-MRA, improving distal vessel visibility and reader confidence. The design is compatible with standard TOF and may enhance evaluation of small-vessel disease and stenosis in routine practice.
14:24 Figure 504-03-005.  Pseudo-TOF Angiography from mGRE without additional TOF Acquisition via ControlNet-Conditioned Diffusion
Seung Yeon Seo, Chuanjiang Cui, Daniel Kim, DongWook Kim, Dong-Hyun Kim
Yonsei University, Seoul, Korea, Republic of
Impact: Synthesizing pseudo-TOF angiography directly from standard mGRE provides TOF-like intracranial vessel projections even when TOF is not acquired. This can reduce exam time, avoid additional TOF scans in borderline cases, and unlock mGRE-only retrospective cohorts for large-scale vascular research.
14:35 Figure 504-03-006.  From 3D TOF to 4D ASL: A Fast Simulation-Driven Few-Shot Deep Learning Approach for Accelerated ASL Angiography
Magna Cum Laude
Hao Li, Mark Chiew, Iulius Dragonu, Peter Jezzard, Thomas Okell
University of Oxford, Oxford, United Kingdom
Impact: The proposed method enables 8× accelerated 4D-ASL-MRA with high-quality, rapid reconstruction through data-efficient, simulation-driven learning that bridges 3D-TOF and 4D-ASL data, offering a clinically feasible and accessible pathway for advancing non-contrast, dynamic cerebrovascular imaging toward clinical application.
14:46 Figure 504-03-007.  The Application of Time-Resolved Non-Contrast Angiography (4D-TRANCE) in the Assessment of Collateral Circulation in Moyamoya
Yang Dinglan, Chao Xia, Kai AI, Su Lui, Hu Na
West china hospital of Sichuan university, Chengdu, China
Impact: These findings suggested that 4D-TRANCE might serve as a reliable, non-invasive tool for evaluating collateral circulation in MMD, potentially leading to revise management strategies. Additionally, this research prompts further investigation into the role of non-contrast methods in cerebrovascular diseases.
14:57 Figure 504-03-008.  DynaTOF: Time-resolved noncontrast MRA for cerebral hemodynamic assessment using spatially modulated RF saturation
Naoyuki Takei, Keita Fujii, Xucheng Zhu, Yuichi Suzuki, Tetsuya Wakayama, Shiori Amemiya, Osamu Abe
Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
Impact: DynaTOF leverages RF saturation in 3D TOF imaging to visualize cerebral hemodynamics without contrast or labeling. It provides parameter-controlled, time-resolved vascular depiction, demonstrating clinical utility for dynamic cerebrovascular assessment that integrates seamlessly into conventional TOF imaging.
15:08 Figure 504-03-009.  Exercise-induced Cerebral Arterial Remodeling Revealed by 4D Flow MRI
Mingsong Tang, jinrui liu, Wenjing Ren, Yuhui Xiong, Jing Zhang
Department of Magnetic Resonance, Lanzhou, China
Impact: Our findings provide the first evidence of exercise-induced cerebral vascular remodeling and further identify the distinct cerebrovascular phenotype in athletes, establishing a foundation for understanding how exercise enhances cerebrovascular health.
15:19 Figure 504-03-010.  Lenticulostriate Arteries Remodeling Signals Upstream Small Vessel Injury in CSVD: A Hemisphere-Paired 7T MRI study
Chaobang Xie, Jinhao Lyu, Zhixuan Li, Rui Hu, xiaojun yu, Jianxun Qu, Xin Lou
The First Medical Center, Chinese PLA General Hospital, Beijing, China
Impact: This study establishes 7T MRI-based LSAs morphology as an upstream biomarker for cSVD, enabling earlier microvascular injury detection and risk stratification. It opens new applications for therapeutic trials and prompts longitudinal studies to validate LSAs metrics for predicting disease progression.

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