Segmentation of the breast region in mammograms using snakes

The largest single feature on a mammogram is the skin-air interface, or breast contour. Extraction of the breast contour is useful for a number of reasons. Foremost it allows the search for abnormalities to be limited to the region of the breast without undue influence from the background of the mammogram. Segmentation of the breast-region from the background is made difficult by the tapering nature of the breast, such that the breast contour lies in between the soft-tissue and the non-breast region. This paper explores the application of snakes to the problem of automatically extracting the breast region in mammograms.

[1]  M L Giger,et al.  Computerized detection of masses in digital mammograms: analysis of bilateral subtraction images. , 1991, Medical physics.

[2]  E. Thurfjell,et al.  Benefit of independent double reading in a population-based mammography screening program. , 1994, Radiology.

[3]  R. Bird,et al.  Analysis of cancers missed at screening mammography. , 1992, Radiology.

[4]  D. Ikeda,et al.  Mammographic characteristics of 115 missed cancers later detected with screening mammography and the potential utility of computer-aided detection. , 2001, Radiology.

[5]  P. G. Tahoces,et al.  Automatic detection of breast border and nipple in digital mammograms. , 1996, Computer methods and programs in biomedicine.

[6]  Yianni Attikiouzel,et al.  Automatic Breast Border Segmentation by Background Modelling and Subtraction , 2000 .

[7]  K Doi,et al.  Automated segmentation of digitized mammograms. , 1995, Academic radiology.

[8]  M Unser,et al.  Automated detection of the tongue surface in sequences of ultrasound images. , 1992, The Journal of the Acoustical Society of America.

[9]  Paul L. Rosin.  Unimodal thresholding , 2001, Pattern Recognit..

[10]  Mubarak Shah,et al.  A fast algorithm for active contours , 1990, [1990] Proceedings Third International Conference on Computer Vision.

[11]  Olli Nevalainen,et al.  Interactive Segmentation of the Breast Region from Digitized Mammograms with United Snakes , 1999 .

[12]  Michael A. Wirth,et al.  Removing radiopaque artifacts from mammograms using area morphology , 2004, SPIE Medical Imaging.

[13]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[14]  Ian W. Ricketts,et al.  The Mammographic Image Analysis Society digital mammogram database , 1994 .