Meeting Banner
Abstract #3138

Quantitative Assessment of the Intracranial Vasculature of an Elderly Population using the intraCranial Artery Feature Extraction (iCafe) Technique

Li Chen1, Quan Yuan2, Niranjan Balu3, Isabelle Yuan4, Daniel S Hippe 3, Jie Sun3, Xihai Zhao5, Rui Li5, Le He5, Jenq-Neng Hwang1, and Chun Yuan3

1Electrical Engineering, University of Washington, Seattle, WA, United States, 2Neurology, Xuanwu hospital, Capital Medical University, Beijing, China, 3Radiology, University of Washington, Seattle, WA, United States, 4Wellesley College, Wellesley, MA, United States, 5Biomedical Engineering, Tsinghua University, Beijing, China

iCafe is a novel technique which semi-automatically traces intracranial arteries from 3D magnetic resonance angiography (MRA) and computes corresponding quantitative morphometry and intensity features. MRA images of 100 healthy subjects (age 57-85) were processed and 8 representative features were extracted. We found significant decreases in total artery length (p=0.026), distal artery length (p=0.025), and number of branches (p=0.005) with increasing age using linear regression. These results suggest reduced vascularity with age, consistent with prior results showing cerebral blood flow with age. iCafe may be a useful tool to generalize systemic quantitative measurements of intracranial vascular structures.

This abstract and the presentation materials are available to members only; a login is required.

Join Here