Automated Method for Analysis of Mammographic Breast Density - A Technique for Breast Cancer Risk Estimation
Abstract
The goal of this proposed project is to develop an automated technique to assist radiologists in estimating mammographic breast density. During the project years, we developed an automated mammographic density segmentation system, referred to as Mammographic Density ESTimator (MDEST), for both DMs and DFMs. Our studies showed that the automated MDEST system can provide percent dense area estimates that are highly correlated with radiologists interactive thresholding results and the percent volumetric fibroglandular tissue estimates from MR breast images. The quantitative estimates are superior to the radiologists qualitative BI-RADS density assessment. The MDEST system can provide a consistent and reproducible estimation of percent dense area on routine clinical mammograms. This will facilitate studies of various factors associated with breast cancer risk and mammographic sensitivity, and monitoring the effects of interventional or preventive strategies. The image analysis tool will therefore contribute to the understanding of the relationship of density to breast cancer risk, detection, prognosis, and to the prevention and treatment of breast cancers.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 2006
- Accession Number
- ADA463240
Entities
People
- Heang-Ping Chan
Organizations
- University of Michigan