Abstract #2324

Neurometabolic Changes Post Stroke are Associated with Cerebral Artery Distributions: A Combined 3D 1H-MRSI and MRA Study

Chang Xu¹, Tianyao Wang², Hong Zhou³, Ziyu Meng¹, Bin Bo¹, Yibo Zhao^4,5, Yudu Li^4,6, Wen Jin^4,5, Zhi-Pei Liang^4,5, and Yao Li¹

¹School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, ²Radiology Department, Renji Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China, ³Department of Radiology, The First Affiliated Hospital of South China of University, South China of University, Hengyang, China, ⁴Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ⁵Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ⁶The National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States

Synopsis

Keywords: Stroke, Stroke, MRSI

Motivation: Elucidating the time-dependent pathological evolution of infarction is essential for the effective management of stroke.

Goal(s): Our goal was to investigate the influence of vascular characteristics on neurometabolites changes within lesions at different times post stroke.

Approach: 3D ¹H-MRSI scanning using SPICE technology (scan time: 8 minutes, resolution: 2 × 3 × 3 mm³, FOV: 240 × 240 × 72 mm³) was performed on 74 acute stroke patients. The neurometabolites maps were compared with a statistical atlas of cerebral artery.

Results: We showed the vessel distributions were related to the neurometabolites changes following ischemic stroke, collectively improving the prediction of stroke symptom onset.

Impact: Using fast high-resolution 1H-MRSI together with cerebral artery atlas, our study showed that the interdependence between vessel distribution and neurometabolites changes in ischemic stroke. The finding may help find useful biomarkers for modeling stroke lesion evolution and symptom onset prediction.

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