Pectoral muscle removal in mammogram images: A novel approach for improved accuracy and efficiency.

ABSTRACT:

Purpose

Accurate pectoral muscle removal is critical in mammographic breast density estimation and many other computer-aided algorithms. We propose a novel approach to remove pectoral muscles form mediolateral oblique (MLO) view mammograms and compare accuracy and computational efficiency with existing method (Libra).

Methods

A pectoral muscle identification pipeline was developed. The image is first binarized to enhance contrast and then the Canny algorithm was applied for edge detection. Robust interpolation is used to smooth out the pectoral muscle region. Accuracy and computational speed of pectoral muscle identification was assessed using 951 women (1,902 MLO mammograms) from the Joanne Knight Breast Health Cohort at Washington University School of Medicine.

Results<

SUBMITTER: Chen S 

PROVIDER: S-EPMC10764470 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature