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Abstract #3625

Automatic Planning for fast and robust Flow Territory Mapping

Michael Helle1, Kim van de Ven2, and Fabian Wenzel1

1Philips Research, Hamburg, Germany, 2Philips Healthcare, Best, Netherlands

Super-Selective Pseudo-continuous Arterial Spin Labeling (pCASL) requires the labeling focus to be optimized to each artery of interest individually. This might be time-consuming especially for inexperienced users, and suboptimal results are possible as the labeling efficiency depends on the location of the labeling spot, as well as its angulation, which should be perpendicular to the artery. This study demonstrates an automatic planning approach for Super-Selective pCASL measurements in the major brain feeding vessels and subsequently compares the results to images acquired using a manual positioning of the labeling spot.

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