Shandong Wu1, Susan P. Weinstein2, Emily F. Conant2, Despina Kontos1
1Radiology, University of Pennsylvania, Philadelphia, PA, United States; 2Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
Studies suggest that background parenchymal enhancement (BPE) in breast DCE-MRI is associated with an increased breast cancer risk for high-risk populations. Most previous work on BPE estimation is however, based on readers qualitative assessment. The purpose of our study is to develop a fully automated computational method for quantitative BPE estimation and optimize the related parameters to identify the BPE. We estimate BPE through identifying the enhancing voxels in the DCE-MRI images by measuring the relative voxel-wise enhancement. Our algorithm achieves high agreement with manual segmentation and could be used to standardize measures of BPE in clinical applications.