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Abstract #2020

Vascular Input Function Correction with Inflow Relative Enhancement Quantification in Liver DCE-MRI

Jia Ning1, Tilman Schubert2,3, Huijun Chen1, Chun Yuan1,4, and Scott B Reeder3,5,6,7,8

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, People's Republic of China, 2Clinic for Radiology and Nuclear Medicine, Basel University Hospital, Basel, Switzerland, 3Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 4Department of Radiology, University of Washington, Seattle, WA, United States, 5Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 6Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 7Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States, 8Department of Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States

Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) with pharmacokinetic modeling can help to quantify the perfusion and function of liver. The accurate pharmacokinetic modeling relies on the accurately and reliably captured vascular input function (VIF)s. However, due to the fast blood velocity, the blood in the large vessels including abdominal aorta and the main branch of the portal vein experiences only a limited number of excitations and hasn’t reached a steady state. This introduces bias in the VIFs, and consecutively bias in pharmacokinetic parameters. In this study, we sought to correct the inflow effect on VIF acquisition in liver DCE-MRI.

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Abstract