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Abstract #2116

Evaluation of Automatic Breast MR Anatomy Segmentation

Jean-Michel Rouet1, Ursula Kose2, Johannes Buurman2, Maxim Fradkin1, Robert A. Schmidt3, Charlene Sennett3, Hiroyuki Abe3, Gillian M. Newstead3

1Philips Healthcare, Paris, France; 2Philips Healthcare, Best, Netherlands; 3Department of Radiology, The University of Chicago, Chicago, IL, USA

Automation of breast MR BI-RADS reporting requires fast automatic detection and segmentation of the breast anatomy, which is particularly difficult given the large variation in anatomical details and MR imaging protocols.