Recognizing architectural distortion in mammogram: A multiscale texture modeling approach with GMM

IEEE Transactions on Biomedical Engineering

Volumn 58, Issue 7, 2011, Pages 2023-2030

  Biswas, Sujoy Kumar ^a   Mukherjee, Dipti Prasad ^a  

^a INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

Architectural distortion (AD); Gaussian mixture model (GMM); mammogram

Indexed keywords

ARCHITECTURAL DISTORTIONS; DATA SETS; DESCRIPTORS; DIGITAL DATABASE FOR SCREENING MAMMOGRAPHIES; DIGITAL MAMMOGRAMS; EFFICIENT SETS; FILTER RESPONSE; GAUSSIAN MIXTURE MODEL; GENERATIVE MODEL; MAMMOGRAM; MAMMOGRAPHIC IMAGE ANALYSIS; MIXTURE OF GAUSSIANS; MULTISCALES; ORIENTED FILTER; SECOND LAYER; STOCHASTIC REALIZATION; TEXTONS; TEXTURE MODELING; TEXTURE PATTERNS; TWO LAYERS;

FILTER BANKS; IMAGE SEGMENTATION; TEXTURES; X RAY SCREENS;

MAMMOGRAPHY;

ARCHITECTURAL DISTORTION; ARTICLE; CONTROLLED STUDY; GAUSSIAN MIXTURE MODEL; LEARNING ALGORITHM; MAMMOGRAPHY; MODEL; RADIOLOGICAL PARAMETERS; RECEIVER OPERATING CHARACTERISTIC; REFERENCE DATABASE; REGION OF INTEREST; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; DATABASES, FACTUAL; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAMMOGRAPHY; NORMAL DISTRIBUTION; STOCHASTIC PROCESSES;

EID: 79959538622     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2011.2128870     Document Type: Article

References (25)

1. M. Althuis, J. Dozier, W. Anderson, S. S. Devesa, and L. A. Brinton, "Global trends in breast cancer incidence and mortality 1973-1997," Int. J. Epidemiol., vol. 34, no. 2, pp. 405-412, 2005. (Pubitemid 40645331)
2. -(2010, Jul.). NCI Cancer Fact Sheets. [Online] http://www.cancer.gov/ cancertopics/types/breast.
3. -(2010, Jul.). [Online]. Available: http://www.birads.at/info.html.
4. J. A. Baker, E. L. Rosen, J. Y. Lo, E. I. Gimenez, R.Walsh, and M. S. Soo, "Computer-aided detection (CAD) in screening mammography: Sensitivity of commercial CAD systems for detecting architectural distortion," Am. J. Roentgenol., vol. 181, no. 4, pp. 1083-1088, 2003. (Pubitemid 37151795)
5. M. P. Sampat, G. J. Whitman, M. K. Markey, and A. C. Bovik, "Evidence based detection of spiculated masses and architectural distortion," in Proc. SPIEMed. Imag.: Image Process., Apr., 2005, vol. 5747, pp. 26-37. (Pubitemid 41146644)
6. F. J. Ayres and R. M. Rangayyan, "Characterization of architectural distortion in mammograms," IEEE Eng. Med. Biol. Mag., vol. 24, no. 1, pp. 59-67, Jan./Feb. 2005. (Pubitemid 40188491)
7. R.M. Rangayyan and F. J. Ayres, "Gabor filters and phase portraits for the detection of architectural distortion in mammograms," Med. Biol. Eng. Comput., vol. 44, no. 10, pp. 883-894, 2006. (Pubitemid 44530560)
8. F. J. Ayres and R. M. Rangayyan, "Reduction of false positives in the detection of architectural distortion in mammograms by using a geometrically constrained phase portrait model," Int. J. Comput. Assist. Radiol. Surg., vol. 1, no. 6, pp. 361-369, 2007.
9. W. P. Kegelmeyer, Jr., J. M. Pruneda, P. D. Bourland, A. Hillis, M. W. Riggs, and M. L. Nipper, "Computer-aided mammographic screening for spiculated lesions," Radiology, vol. 191, pp. 331-337, 1994.
10. T. Ichikawa, T. Matsubara, T. Hara, H. Fujita, T. Endo, and T. Iwasem, "Automated detection method for architectural distortion areas on mammograms based on morphological processing and surface analysis," in Proc. SPIE Med. Imag.: Image Process., Feb., 2004, vol. 5374, pp. 920-925.
11. A. R. Rao and R. C. Jain, "Computerized flow field analysis: Oriented texture fields," IEEE Trans. Pattern Anal. Mach. Intell., vol. 14, no. 7, pp. 693-709, Jul. 1992.
12. R. Zwiggelaar, T. C. Parr, J. E. Schumm, I. W. Hutt, C. J. Taylor, S. M. Astley, and C. R. M. Boggis, "Model-based detection of spiculated lesions in mammograms," Med. Image Anal., vol. 3, no. 1, pp. 39-62, 1999. (Pubitemid 129641349)
13. G. M. te Brake and N. Karssemeijer, "Single and multiscale detection of masses in digital mammograms," IEEE Trans. Med. Imag., vol. 18, no. 7, pp. 628-639, Jul. 1999. (Pubitemid 32080527)
14. R. Hupse and N. Karssemeijer, "Use of normal tissue context in computeraided detection of masses in mammograms," IEEE Trans. Med. Imag., vol. 28, no. 12, pp. 2033-2041, Dec. 2009.
15. S. Timp and N. Karssemeijer, "A new 2D segmentation method based on dynamic programming applied to computer aided detection in mammography," Med. Phys., vol. 31, no. 5, pp. 958-971, May 2004. (Pubitemid 38656762)
16. C. M. Bishop, Pattern Recognition and Machine Learning. Berlin, Germany: Springer, 2006.
17. D. S. Broomhead and D. Lowe, "Multivariable functional interpolation and adaptive networks," Complex Systems, vol. 2, pp. 321-355, 1988.
18. J. Malik, S. Belongie, T. Leung, and J. Shi, "Contour and texture analysis for image segmentation," Int. J. Comput. Vision, vol. 43, no. 1, pp. 7-27, 2001. (Pubitemid 32720090)
19. M. Varma and A. Zisserman, "A statistical approach to material classification using image patch exemplars," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 11, pp. 2032-2047, Nov. 2009.
20. M. P. Sampat, A. C. Bovik, G. J. Whitman, and M. K. Markey, "A modelbased framework for the detection of spiculated masses on mammography," Med. Phys., vol. 35, no. 5, pp. 2110-2123, 2008. (Pubitemid 351614826)
21. J. C. Gemert, C. J. Veenman, A.W. M. Smeulders, and J. M. Geusebroek, "Visualword ambiguity," IEEE Trans. Pattern Anal.Mach. Intell., vol. 32, no. 7, pp. 1271-1283, Jul. 2010.
22. -(2011, Feb.). [Online]. Available: http://www.cns.nyu.edu/lcv/texture; http://www.cns.nyu.edu/eero/STEERPYR/
23. J. Suckling, C. R. M. Boggis, I. Hutt, S. Astley, D. Betal, N. Cerneaz, D. R. Dance, S-L Kok, J. Parker, I. Ricketts, J. Savage, E. Stamatakis, and P. Taylor, "The mammographic image analysis society digital mammogram database," in Proc. Exerpta Medica. Int. Congr. Series, 1994, vol. 1069, pp. 375-378.
24. M. Heath, K. Bowyer, D. Kopans,W. P. Kegelmeyer, R.Moore, K. Chang, and S. Munishkumaran, "Current status of the digital database for screeningmammography," in Proc. 4th Int.Workshop on DigitalMammography, 1998, pp. 457-460.
25. -(2010, Jun). [Online]. Available: http://www.csie.ntu.edu.tw/cjlin/ libsvm/