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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