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Abstract #3279

Tagging Error Robust pseudo-Continuous Arterial Spin Labeling using Multiplane Labeling and Low Rank Methods

Chenwei Tang1, Mu-Lan Jen1, Laura Eisenmenger2, and Kevin M Johnson1,2
1Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States

pseudo-continuous ASL (pCASL) is still the recommended technique for clinical
and research applications, it suffers from subject vascular
anatomy dependent variations in tagging efficiency which may lead to inaccurate
quantification of perfusion, or gross misrepresentations of perfusion
heterogeneity. In this work, we explore a strategy in which a span of tagging
plane offsets and rotations is performed and cerebral blood flow (CBF) is robustly
estimated retrospectively from the series of images with differential tagging
efficiency. Our results demonstrate significant fluctuation of measured CBF for
different relative labeling plane locations and robust recovered CBF against
these fluctuations.

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