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Abstract #1632

Identification of Blood Flow Directions in the Circle of Willis using iSNAP dynamic MRA

Josh Liu1, Zhensen Chen1, Niranjan Balu1, and Chun Yuan1
1Electrical and Computer Engineering, University of Washington, Seattle, WA, United States

Blood flow directions in vessels of the Circle of Willis (CoW) may have important implications for stroke risk. In this study, an algorithm is developed to identify the blood flow direction within vessel segments of the Circle of Willis (CoW) using the dynamic MRA component of the recently developed sequence iSNAP. The CoW of twenty-two patients were analyzed using the algorithm, and an ~85% accuracy was achieved with 3D Phase Contrast as the reference.

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