Abstract #0469

Cardiac active PVS: a metric derived from dynamic T2-weighted EPI for brain effective perivascular space characterization

Fan Jiang¹, Tiantian Hua², Qingping He³, Zejun Wang¹, Shuyuan Tan¹, Li Chai², Yi-cheng Hsu⁴, Xianchang Zhang⁵, Yaou Liu*⁶, and Ruiliang Bai*¹

¹College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China, ²Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, ³School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou, China, ⁴MR Collaboration, Siemens Healthcare, Shanghai, China, ⁵MR Research Collaboration, Siemens Healthineers Ltd., Beijing, China, ⁶Department of Radiology, Beijing Tiantan Hospital, Capital Medical University,, Beijing, China

Synopsis

Keywords: Neurofluids, White Matter, PVS;Cardiac Cycle;

Motivation: Perivascular space (PVS) is the anatomical basis of glymphatic system. Except for these enlarged PVS, there still lacks a method to characterize the structural-MRI-invisible PVS.

Goal(s): To develop a neuroimaging method to characterize the PVS actively driven by the cardiac cycle.

Approach: A strongly T2-weighted EPI (TE=130ms) was dynamically acquired with simultaneously recorded cardiac output. The cardiac-active PVS (caPVS) is defined as the EPI signal intensity fluctuation over a cardiac cycle.

Results: We found caPVS decreases rather than increases in aging. Furthermore, the MRI-visible enlarged PVS didn’t show a significant cardiac-cycle dependence.

Impact: Our proposed method provides with a new way to characterize these MRI-invisible but cardiac-active PVS density, which is a highly promising biomarker to evaluate the glymphatic system in future.

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