Abstract #2020

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

Jia Ning¹, Tilman Schubert^2,3, Huijun Chen¹, Chun Yuan^1,4, and Scott B Reeder^3,5,6,7,8

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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