Automatically Derived Volumetrics for Liver Transplants

Beck Olson, a Data Scientist in the Department of Radiology and Biomedical Imaging, is working with Jane Wang, MD, an expert in abdominal imaging, to develop neural networks to automatically derive volumetrics of the liver. UCSF performs approximately 200 liver transplants annually. Preparation for these surgeries historically has involved time consuming semi-automatic segmentation of the donor liver to determine whether there is sufficient organ volume to support positive outcomes for both donor and recipient. With full automation of this segmentation process on the horizon, Olson is now working with NVIDIA on a platform for delivering the results for clinical review.