Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026
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604-02-001.
A flow-diffusion model of capillary oxygen transport for the estimation of venous cerebral blood volume from GE-SE signal
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.
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| 13:51 |
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604-02-002.
Cerebral hemodynamics in white matter lesions and their penumbra in older adults using 7T arterial spin labeling MRI
Impact: Our results suggest that applications of optimized 7T ASL to investigate white matter hemodynamics in older adults are feasible.
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| 14:02 |
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604-02-003.
KIVA: Water Exchange Rate (kw) Imaging with Velocity-selective Arterial Spin Labeling
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.
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| 14:13 |
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604-02-004.
Microvascular velocity and deceleration imaging using multi-velocity-encoding multi-delay arterial spin labeling
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.
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| 14:24 |
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604-02-005.
QQ-F: A Generalized QQ-based Deep Learning Approach for Oxygen Extraction Fraction Mapping across Diverse Acquisition Schemes
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.
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| 14:35 |
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604-02-006.
CSF or tissue: which one is the most important to suppress as background signal in ASL?
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.
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| 14:46 |
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604-02-007.
Influence of pCASL labeling duration on blood-to-CSF water exchange measurements: better SNR and proof of direct exchange
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.
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| 14:57 |
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604-02-008.
High-resolution 3D Manganese-enhanced MRI for the Detection of Viable Myocardium in a Post-Infarct Sheep Model
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.
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| 15:08 |
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604-02-009.
Peri-nidal Hypoperfusion on Multi-Delay ASL Is Associated with Epilepsy in Unruptured Brain Arteriovenous Malformation
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.
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| 15:19 |
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604-02-010.
Arterial Spin Labeling MRI for Bladder Cancer: Correlation with Histopathology and Comparison with DCE-MRI
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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© 2026 International Society for Magnetic Resonance in Medicine