Abstract #2704

Hepatic Perfusion Modeling Using DCE-MRI with Sequential Breath Holds

Eric M. Bultman¹, Ethan K. Brodsky², Debra E. Horng³, Pablo Irarrzabal⁴, William R. Schelman⁵, Walter F. Block¹,³, Scott B. Reeder¹,⁶

¹Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States; ²Medical Physics, University of Wisconsin - Madison, Madison, WI, United States; ³Medical Physics, University of Wisconsin-Madison, Madison, WI, United States; ⁴Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile; ⁵Medicine, University of Wisconsin-Madison, Madison, WI, United States; ⁶Radiology, University of Wisconsin-Madison, Madison, WI, United States

Estimating quantitative hepatic perfusion parameters is challenging for several reasons, including the need to acquire data during periods of free breathing. In this work, we demonstrate the feasibility of estimating hepatic perfusion parameters using interrupted DCE-MRI data acquired with a 3D time-resolved radial imaging sequence during sequential breath-holds. Average time-signal curves corresponding to cirrhotic liver and hepatocellular carcinoma ROIs are fitted to a dual-input single-compartment model, and quantitative perfusion parameters are generated. Perfusion characteristics of HCC are shown to be distinctly different from background cirrhotic liver.