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Abstract #0302

Advanced Automatic Planning for Super-Selective Arterial Spin Labeling Flow Territory Mapping

Michael Helle1, Fabian Wenzel1, Kim van de Ven2, and Peter Boernert1

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

This study presents an advanced fully automated approach based on vessel detection and analysis. It is completely integrated in the scanner console and allows labeling of the major brain feeding vessels in an efficient and robust way. Average processing time to find optimal labeling positions for all major brain feeding arteries is <15 seconds.

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