NDLI: Characterization of the breast region for computer assisted Tabar masking of paired mammographic images

Content Provider	IEEE Xplore Digital Library
Author	Casti, P. Mencattini, A. Salmeri, M. Pepe, M.L. Mangieri, F. Ancona, A.
Copyright Year	2012
Description	Author affiliation: Radiology Unit San Paolo Hospital of Bari, Italy (Pepe, M.L.; Mangieri, F.; Ancona, A.) \|\| Dept. of Electronic Engineering, University of Rome Tor Vergata, Italy (Casti, P.; Mencattini, A.; Salmeri, M.)
Abstract	In this work we propose a joint two-side masking procedure for automatic analysis of mammographic images. The primary objective is the improvement of computerized systems capability in revealing additional findings, as the asymmetrical changes of the breast parenchyma. The method allows the proper comparison of the left and right breast by progressive selection of paired small areas on the mammogram, primarily the so-called “forbidden areas”, zones that need special attention in mammographic interpretation. The masking of specific areas of the mammogram requires the identification of two anatomical structures of the breast: the pectoral muscle and the nipple used, together with the breast skin line, to find paired matching points on the images for comparison. With this purpose, specific algorithms have been developed. In particular, a new method for nipple extraction will be presented and validated by expert radiologists, by the use of a proprietary program developed by the authors. Finally, an application example of the automatic Tabar masking procedure will be shown, in order to point out the potential of this method in detection of suspicious areas in mammograms.
Starting Page	1
Ending Page	6
File Size	1643453
Page Count	6
File Format	PDF
ISBN	9781467320498
ISSN	10637125
e-ISBN	9781467320511
DOI	10.1109/CBMS.2012.6266363
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-20
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Abstracts Legged locomotion
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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