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Abstract #5054

Full-automation of mapping perivascular space using DTI-ALPS – characterization using the moyamoya disease/syndrome

Tzu-chen Yeh1,2, Hung-Yi Wu1, Ting-Yi Chen1, Pei-Chen Yu1, Chou-Ming Cheng3, and Chi-Che Chou3
1Radiology Department, Taipei Veterans General Hospital, Taipei, Taiwan, 2Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan, 3Integrated Brain Research Unit, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan

Synopsis

Keywords: Stroke, Stroke, perivascular space, DTI, automation

Motivation: Full-automated evaluation of PVS (peri-vascular space) was obtained using DTI-ALPS (diffusion tensor image along perivascular space). With MR data of moyamoya disease (with or without infarct), it provided a model to evaluate peri-arterial and peri-venous spaces.

Goal(s): Moyamoya disease without infarct spared the peri-venous space. Change of arterial PVS may be invisible by DTI-ALPS.

Approach: NODDI and T1-weighted images of 15 normal subjects and 15 patients with moyamoya disease were obtained using a 3T MR.

Results: Lower ALPS indices of moyamoya group with infarction as compared with normal subjects suggested significant slower perivascular flow when moyamoya group without infarct showed no difference.

Impact: DTI-ALPS detected the damage of PVS in moyamoya disease with infract, when DTI-ALPS was not able to detect the loss of PVS of arterial site in moyamoya disease without infarct.

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Keywords