1Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States; 2Medical Imaging, University of Arizona, Tucson, AZ, United States; 3Biomedical Engineering, University of Arizona, Tucson, AZ, United States
The analysis of imaging parameters in the liver has become of increased importance for the evaluation of pathologies such as fibrosis, inflammation and iron deposition. Although parametric imaging techniques have been developed, the analysis of parameters maps is mainly restricted to an ROI within the liver. Whole liver analysis should yield a better representation of the disease and if the analysis is automated it can be used routinely in the clinic. In this work, we present a combined liver and vessel segmentation technique that is used to evaluate full liver T2 and Fat Fraction maps in an automated fashion.