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Abstract #1891

Study on cerebral perfusion characteristic network of type 2 diabetes mellitus using 3D arterial spin labeling imaging

hang qu1, wenjuan ba1, weiqiang Dou2, and wei wang1
1The Affiliated Hospital of Yangzhou University, yangzhou, China, 2GE Healthcare, MR Research China, Beijing, Beijing, China

This study aimed to investigate the cerebral microcirculatory blood flow perfusion and perfusion patterns in patients with type 2 diabetes by using 3D arterial spin labeling (ASL) imaging, and to analyze the correlation between perfusion changes and biochemical indexes. We obtained 3D-ASL derived cerebral blood flow (CBF) and perfusion feature network using principal component analysis (PCA) on each subject accordingly. These diabetic patients showed low regional CBF, and PCA-based perfusion characteristics could identify patients with diabetes. Changed perfusion patterns reflected the remodeling of cerebral blood flow perfusion, revealing clinical value and significance for early diagnosis and intervention of diabetic microangiopathy.

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