Jia Ying1, Renee Cattell1, and Chuan Huang1,2,3
1Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 2Radiology, Stony Brook Medicine, Stony Brook, NY, United States, 3Psychiatry, Stony Brook Medicine, Stony Brook, NY, United States
1Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 2Radiology, Stony Brook Medicine, Stony Brook, NY, United States, 3Psychiatry, Stony Brook Medicine, Stony Brook, NY, United States
MR-based quantitative assessment of breast density has a few unique advantages over mammography, which requires precise and accurate whole breast segmentation. In this work, a new whole breast segmentation strategy based on image registration has been proposed.
Figure 1. Pipeline for registration-based breast segmentation algorithm
Figure 3. Registration-based breast segmentation method better identifies the lower boundary of the breast region. The resulting segmentations (red) are overlaid to the breast images with the problematic area circled in green.