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Abstract #3171

Quantitative Intracranial Vasculature Assessment to detect dementia using the intraCranial Artery Feature Extraction (iCafe) Technique

Li Chen1, Thomas Grabowski1, Eric B Larson2, Paul Crane1, Thomas S Hatsukami1, Jenq-Neng Hwang1, Chun Yuan1, and Niranjan Balu1

1University of Washington, Seattle, WA, United States, 2Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States

Intracranial artery features measured from 3D magnetic resonance angiography (MRA) may provide new biomarkers for detecting dementia. Quantitative morphometry and intensity features using iCafe analysis of MRA was compared between cognitively normal and abnormal subjects. We found significantly lower total artery length (p=0.0046), distal artery length (p=0.0043), number of branches (p=0.0038) and average order (p=0.0250) in the cognitively abnormal group. These results suggest reduced vascularity for dementia subjects. iCafe is a promising tool to quantitatively characterize intracranial vascular structures for dementia research.

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