Chaitanya Kalavagunta1, Christopher A. Warlick2, Xiangmin Zhou1, Xiufeng Li1, Joseph S. Koopmeiners3, Jonathan C. Henriksen4, Andrew D. Johnson4, Stephen Schmechel4, G
1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States; 2Department of Urologic Surgery, University of Minnesota, Minneapolis, MN, United States; 3Department of Biostatistics, University of Minnesota, Minneapolis, MN, United States; 4Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States
Multi parametric maps of anatomic, vascular and metabolic data of prostate cancer (PCa) and benign tissue acquired using multiple imaging modalities can yield improved discrimination of the extent and aggressiveness of PCa. An important step in this direction is the registration of in-vivo MR images with histopathological sections from prostatectomy. In this study we use this histological ground truth tumor localization information along with quantitative histological data to find correlation between tumor nuclear densities with T2 and ADC measurements made using registered peripheral zone tumor regions.