title: Identification of the breast boundary in mammograms using active contour models.
abstract: A method for the identification of the breast boundary in mammograms is presented. The method can be used in the preprocessing stage of a system for computer-aided diagnosis (CAD) of breast cancer and also in the reduction of image file size in picture archiving and communication system applications. The method started with modification of the contrast of the original image. A binarisation procedure was then applied to the image, and the chain-code algorithm was used to find an approximate breast contour. Finally, the identification of the true breast boundary was performed by using the approximate contour as the input to an active contour model algorithm specially tailored for this purpose. After demarcation of the breast boundary, all artifacts outside the breast region were eliminated. The method was applied to 84 medio-lateral oblique mammograms from the Mini-MIAS database. Evaluation of the detected breast boundary was performed based upon the percentage of false-positive and false-negative pixels determined by a quantitative comparison between the contours identified by a radiologist and those identified by the proposed method. The average false positive and false negative rates were 0.41% and 0.58%, respectively. The two radiologists who evaluated the results considered the segmentation results to be acceptable for CAD purposes.
authors.affiliation: Department of Electrical & Computer Engineering, University of Calgary, Calgary, Alberta, Canada.
authors.forename: R J
authors.initials: RJ
authors.lastname: Ferrari
authors.forename: R M
authors.initials: RM
authors.lastname: Rangayyan
authors.forename: J E L
authors.initials: JE
authors.lastname: Desautels
authors.forename: R A
authors.initials: RA
authors.lastname: Borges
authors.forename: A F
authors.initials: AF
authors.lastname: Frère
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D005260:Female; D006801:Humans; D008327:Mammography; D008953:Models, Anatomic; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D011873:Radiology Information Systems