DocumentCode :
2723860
Title :
A region-based active contour method for extraction of breast skin-line in mammograms
Author :
Thiruvenkadam, S. ; Acharyya, M. ; Neeba, N.V. ; Jhunjhunwala, P. ; Ranjan, S.
Author_Institution :
Imaging Technol., GE Global Res., Bangalore, India
fYear :
2010
fDate :
14-17 April 2010
Firstpage :
189
Lastpage :
192
Abstract :
In this work, we present a novel region-based active contour technique to extract the breast boundary in mammograms. Skin-line extraction in mammograms is non-trivial due to the presence of noise, intensity inhomogeneities, and scanning artifacts. Also, weak contrast near the skin-line boundary, especially in the case of low-density breasts, poses a lot of difficulty in its extraction. Here, we represent the breast boundary by a smooth, parametric curve. The region based data term of the active contour energy is based on the assumption that in a small neighborhood around the skin boundary, the intensity is piece-wise constant. Further, to achieve a good initial guess, we make use of the assumption that at a large scale, the breast image is binary with a fuzzy boundary. A PDE based energy is employed to get the fuzzy membership function. The smoothness term of the above energy allows us to handle noise/ scanning artifacts in mammograms, and allows easy extraction of a single contour, which is then input to the active contour energy. Our experiments on the MIAS database gave promising results as validated by an experienced radiologist.
Keywords :
biological organs; edge detection; feature extraction; fuzzy set theory; image segmentation; mammography; medical image processing; skin; active contour energy; automatic skin-line segmentation; breast boundary extraction; breast skin-line extraction; fuzzy boundary; fuzzy membership function; intensity inhomogeneities; mammograms; region-based active contour technique; scanning artifacts; smooth parametric curve; weak contrast; Active contours; Active noise reduction; Breast; Data mining; Databases; Histograms; Image segmentation; Large-scale systems; Skin; Statistics; Breast Skin-line; PDE based fuzzy segmentation; region-based active contour;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
Conference_Location :
Rotterdam
ISSN :
1945-7928
Print_ISBN :
978-1-4244-4125-9
Electronic_ISBN :
1945-7928
Type :
conf
DOI :
10.1109/ISBI.2010.5490383
Filename :
5490383
Link To Document :
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