tomoLibra

› tomoLIBRA: Deep learning software for automated volumetric breast density estimation
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This technology, tomoLIBRA, is a deep learning model designed to calculate volumetric breast density (VBD) directly from 3D reconstructed digital breast tomosynthesis (DBT) images, which are routinely archived in Picture Archiving and Communication Systems (PACS). The software performs 3D segmentation of breast tissue into background, fatty, and dense tissue. By eliminating the dependence on raw projection data, the tool enables retrospective analysis of existing imaging archives and prospective integration into clinical screening workflows. Density measures derived from the software can support personalized breast cancer risk assessment and clinical decision-making. The model has been validated on 1,080 DBT screening exams and tested in an independent case-control study of 834 patients, demonstrating significant association between density measurements and breast cancer diagnosis.