Kang Wang1, Frank Korosec1, Yin Huang1, Kevin Johnson1, Ethan Brodsky2, Reed Busse3, James Holmes3, Jean Brittain3, Scott Reeder1,4
1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States; 2Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States; 3Global Applied Science Laboratory, GE Healthcare; 4Radiology, University of Wisconsin-Madison, Madison, WI, United States
MR liver perfusion is a non-invasive imaging method to assess of the blood supply to liver tumors, providing quantitative measurements of the early changes in liver tumor microvascularity with chemotherapy that may predict long-term tumor response. However, quantitative liver perfusion has been challenging due to the requirement for entire liver coverage, high spatial and high temporal resolution. The purpose of this study is to demonstrate the feasibility of overcoming these technical challenges using a previously developed Interleaved Variable Density sampling method with parallel imaging and Cartesian HYPR reconstruction.