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Abstract #0714

Improving the accuracy of renal perfusion measurements from ASL by using multiple TIs: Validation with DCE MRI

Christopher Charles Conlin1,2, Yangyang Zhao2, and Jeff Lei Zhang1,3

1Utah Center for Advanced Imaging Research, University of Utah, Salt Lake City, UT, United States, 2Bioengineering, University of Utah, Salt Lake City, UT, United States, 3Radiology, University of Utah School of Medicine, Salt Lake City, UT, United States

This study presents an approach for measuring renal perfusion from multi-TI ASL data and examines the impact of TI-sampling density on perfusion estimation. Our approach incorporates a tracer-kinetic model of the ASL difference signal and a correction for inversion-efficiency artifacts. It was used to measure renal perfusion in human subjects from ASL data sampled at different numbers of TIs and validated against an established DCE-MRI technique. For ASL data sampled at more than two TIs, our approach showed good agreement and correlation with DCE-MRI, demonstrating robust modeling of the ASL difference signal and accurate measurement of renal perfusion.

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