title: Quantifying image quality at breast periphery vs mammary gland in mammography using wavelet analysis.
abstract: Use of high contrast film-screen systems in mammography, in combination with the fact that exposure parameters are selected to ensure good visualization of the mammary gland, results in overexposure of the film area corresponding to the breast periphery, therefore decreasing image quality. The aim of this work was to provide a quantitative evaluation of image quality at the breast periphery compared with the mammary gland. To deal with the difficulties in quantification of image quality introduced by low contrast encountered at the breast periphery, wavelet analysis has been used for derivation of a contrast indicator (CI) and a noise indicator (NI), taking into account local grey level variations. Gradient magnitude coefficients corresponding to region of interest (ROI) grey level values are the basis of CI definition. Mammary gland and breast periphery were sampled by equally spaced ROIs, the quantity of which was determined by a heuristic method. For NI definition, the power values of gradient magnitude coefficients corresponding to the ROI were utilized. Image quality at the breast periphery compared with the mammary gland was evaluated using 150 craniocaudal images from the Digital Database for Screening Mammography. Measurements were carried out using a tool developed in our department. A 50% contrast decrease at the breast periphery was observed, while noise decreased by approximately 2%.
authors.affiliation: Department of Medical Physics, School of Medicine, University of Patras, 26500 Patras, Greece.
authors.forename: L
authors.initials: L
authors.lastname: Costaridou
authors.forename: P
authors.initials: P
authors.lastname: Sakellaropoulos
authors.forename: A P
authors.initials: AP
authors.lastname: Stefanoyiannis
authors.forename: E
authors.initials: E
authors.lastname: Ungureanu
authors.forename: G
authors.initials: G
authors.lastname: Panayiotakis
mesh_terms: D001941:Breast Diseases / Q000000981:diagnostic imaging*; D016208:Databases, Factual; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008327:Mammography; D011857:Radiographic Image Interpretation, Computer-Assisted