Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026
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504-03-001.
Assessment of cerebrovasculature using automated 3D Cerebrovascular measurement in MRA
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
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| 13:51 |
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504-03-002.
Automatic and robust 3D vessel segmentation in time-of-flight magnetic resonance images
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.
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| 14:02 |
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504-03-003.
Non-contrast Enhanced MR Angiography using Turbo Velocity-selective Arterial Spin Labeling during the Steady State
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.
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| 14:13 |
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504-03-004.
Improved Distal Vessel Depiction in 3D EPI TOF-MRA Using TONE-Based Water Excitation
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.
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| 14:24 |
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504-03-005.
Pseudo-TOF Angiography from mGRE without additional TOF Acquisition via ControlNet-Conditioned Diffusion
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.
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| 14:35 |
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504-03-006.
From 3D TOF to 4D ASL: A Fast Simulation-Driven Few-Shot Deep Learning Approach for Accelerated ASL Angiography
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.
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| 14:46 |
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504-03-007.
The Application of Time-Resolved Non-Contrast Angiography (4D-TRANCE) in the Assessment of Collateral Circulation in Moyamoya
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.
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| 14:57 |
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504-03-008.
DynaTOF: Time-resolved noncontrast MRA for cerebral hemodynamic assessment using spatially modulated RF saturation
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.
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| 15:08 |
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504-03-009.
Exercise-induced Cerebral Arterial Remodeling Revealed by 4D Flow MRI
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.
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| 15:19 |
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504-03-010.
Lenticulostriate Arteries Remodeling Signals Upstream Small Vessel Injury in CSVD: A Hemisphere-Paired 7T MRI study
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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