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Abstract #3284

Optimization of inversion-time sampling for precise estimation of renal perfusion with ASL

Christopher C. Conlin1 and Jeff L. Zhang1

1Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States

This study outlines an approach for selecting optimal TIs at which to sample renal ASL data. We present an error-propagation factor for a model of the ASL signal and propose to optimize TI sampling through minimization of this factor. Using FAIR ASL data from 7 human subjects, we show that renal perfusion estimates obtained with optimal TI sampling are more accurate and precise than estimates obtained with uniform TI sampling, particularly when ASL data is acquired at only a few TIs.

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