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Abstract #3555

Quantify renal ASL data with arterial input function (AIF) sampled from renal artery

Jeff L Zhang 1 , Christopher C Conlin 1 , Jason Mendes 1 , Niels Oesingmann 2 , and Vivian S Lee 1

1 Department of Radiology, University of Utah, Salt Lake City, Utah, United States, 2 Siemens Medical Solutions USA, Inc., New York, United States

Current models for analyzing renal ASL data assume rectangular-shape function for tagged arterial input function (AIF). With imperfect magnetization inversion, this assumption can cause significant errors in the estimated perfusion. In this study using coronal FAIR labeling, we propose to sample AIF from renal segmental artery, and after some calibration with proton density, use the AIF to estimate renal tissue perfusion from ASL images. In a human subject data, we found that perfusion estimated with the ideal rectangular AIF was lower than that from the sampled AIF, which agreed with our expectation.

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