Title :
Pectoral muscle identification in mammograms for Computer Aided Diagnosis of breast cancer
Author :
Hassan, Syed Ali ; Sayed, Mohammed S. ; Farag, Fathi ; Gouhar, G.K.
Author_Institution :
Dept. of Electron. & Commun. Eng., Zagazig Univ., Zagazig, Egypt
Abstract :
In Computer Aided Diagnosis (CAD) systems of breast cancer, extraction of the breast region and delineation of the breast contour with the pectoral muscle being removed is an essential preprocessing step. Primarily it allows the search for abnormalities to be limited to the region of the breast without undue effect from the background of the mammogram. This paper presents a new method for the identification and removal of the pectoral muscle in medio-Iateral oblique (MLO) view of mammogram using iterative thresholding. Our algorithm also identifies the presence of abnormal axillary lymph nodes, which is a major sign of breast carcinoma, and detects the breast border.
Keywords :
cancer; diagnostic radiography; feature extraction; image denoising; iterative methods; mammography; medical image processing; muscle; abnormal axillary lymph nodes; breast border; breast cancer; breast carcinoma; breast contour; breast region extraction; computer aided diagnosis; iterative thresholding; mammograms; medio-Iateral oblique view; pectoral muscle identification; Algorithm design and analysis; Breast cancer; Image segmentation; Lymph nodes; Muscles; Breast Border Detection; Computer Aided Diagnosis; Mammograms; Pectoral Muscle Identification;
Conference_Titel :
Biomedical Engineering Conference (CIBEC), 2012 Cairo International
Conference_Location :
Giza
Print_ISBN :
978-1-4673-2800-5
DOI :
10.1109/CIBEC.2012.6473337