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Abstract #0133

SANDI-Based Analysis of White Matter Hyperintensity Penumbras in Post-Stroke Patients at 5.0T MRI

Yunheng Li1, Hui Zhang2, Lili Wang1, Shuai Xu1, He Wang1, and Hao Li1
1Institute of Science and Technology for Brain-inspired Intelligence,Fudan University, Shanghai, China, 2UCL Hawkes Institute and Department of Computer Science., University College London, London, United Kingdom

Synopsis

Keywords: Microstructure, Stroke, SANDI,DTI,penumbra

Motivation: White matter hyperintensity (WMH) penumbras are clinically relevant in stroke, representing subtly altered white matter around WMHs, yet are hard to detect with standard MRI.

Goal(s): To assess the SANDI model’s utility in detecting WMH penumbras in post-stroke patients on a 5T MRI scanner.

Approach: SANDI was applied to multi-shell dMRI data from 82 stroke patients on a 5.0T scanner with high gradient performance.

Results: Soma-related penumbras were broader than traditional penumbras and encompassing white matter tissue, suggests that soma-related metrics may be a potential biomarker for preventing micro and macrostructural white matter damage.

Impact: This study demonstrates SANDI’s capability on 5T MRI for detecting white matter hyperintensity penumbras in post-stroke patients, offering a promising biomarker for early white matter damage and advancing clinical stroke assessments through microstructural insights.

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