Abstract #3652

Automated Segmentation of Multiple Vascular Territories from Vessel Encoded Pseudo-Continuous Arterial Spin Labeling MRI Data

Akash Pravin Kansagra¹, Eric Che Wong²

¹School of Medicine, University of California, San Diego, La Jolla, CA, USA; ²Radiology and Psychiatry, University of California, San Diego, La Jolla, CA, USA

Vessel encoded pseudo-continuous ASL allows assessment of vascular territories in the human brain. Here, we discuss a novel region-growing algorithm which allows automated segmentation of perfusion data into multiple vascular territories with minimal scan time. This technique may prove particularly useful in defining vascular territories above the circle of Willis that are not easily amenable to Hadamard-type encoding.