Bogdan Dzyubak1, Kevin Glaser2, Meng Yin2, Armando Manduca2, Richard Ehman2
1Mayo Graduate School, Mayo Clinic, Rochester, MN, United States; 2Radiology, Mayo Clinic, Rochester, MN, United States
Measurements of liver stiffness based on MR Elastography images have an inherent variability due to differences in ROI definition between readers. This study was aimed at developing an automatic algorithm for segmenting the liver in MRE images and measuring stiffness in an ROI with reliable wave propagation. The algorithm was shown to perform as well as an experienced MRE reader even in images with high artifact. This technique may streamline the measurement of liver stiffness while reducing time, variability, and cost.