Abstract #1639

Vessel segmentation on intracranial noncontract enhanced dynamic MR angiography using spatial-temporal correlation between voxels

Cheng Zhong¹, Niranjan Balu², Chun Yuan², and Zhensen Chen^2,3

¹Fudan University, Shanghai, China, ²Department of Radiology, University of Washington, Seattle, WA, United States, ³Center for Biomedical Imaging Research, School of Medicine, Tsinghua University, Beijing, China

A novel method that exploits spatial-temporal correlation between pixels was developed to segment the dynamic MRA (dMRA) of intracranial arteries. Preliminary results on 3 healthy volunteers demonstrate that the proposed method can effectively identify distal vessels with low signal intensity.

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

Join Here