Pectoral muscle segmentation on digital mammograms by nonlinear diffusion filtering

IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings

Volumn , Issue , 2007, Pages 581-584

  Mirzaalian, H ^a   Ahmadzadeh, M R ^b   Sadri, S ^b  

^a ISFAHAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^b ISFAHAN UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

BOOLEAN FUNCTIONS; CANNING; COMPUTER GRAPHICS; DIAGNOSTIC RADIOGRAPHY; EDGE DETECTION; HEALTH; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGING SYSTEMS; IMAGING TECHNIQUES; MEDICAL IMAGING; OPTICAL DATA PROCESSING; SEMICONDUCTOR DOPING; SIGNAL PROCESSING;

ABSOLUTE ERRORS; DIGITAL MAMMOGRAMS; EDGE PRESERVING; FERRARI (CO); HAUSDORFF DISTANCE (HD); MEDIO-LATERAL OBLIQUE (MLO) VIEWS; MUSCLE SEGMENTATION; NONLINEAR DIFFUSION FILTERING; NONLINEAR DIFFUSIONS; PACIFIC RIM;

MUSCLE;

EID: 47349095267     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PACRIM.2007.4313303     Document Type: Conference Paper

References (15)

1. M. L. Giger, R. M. Nishikawa, M. Kupinski, U. Bick, M. Zhang, R. A. Schmidt, D. E. Wolverton, C. E. Comstock, J. Papaioannou, S. A. Collins, A. M. Urbas, C. J. Vyborny and K. Doi, "Computerized detection of breast lesions in digitized mammograms and results with a clinically-implemented intelligent workstation", presented at Computer Assisted Radiology and Surgery, Berlin, Germany, pp. 325-330, 1997.
2. M. A Wirth, "Nonrigid approach to medical image registration: Matching images of the breast", Ph.D. Thesis, RMIT University, Melbourne, Australia, 2000.
3. M. J Homer, "Mammographic Interpretation: A Practical Approach", Boston, MA: McGraw-Hill, 1997.
4. S. M. Kwok, R. Chandrasekhar, Y. Attikiouzel, M. T. Rickard, "Automatic pectoral muscle segmentation on mediolateral oblique view mammograms", IEEE Trans. Med. Imag, vol. 23, NO. 9, pp. 232-246, Sept2004.
5. N. Karssemeijer, "Automated classification of parenchymal patterns in mammograms", Phys. Med. Biol., vol. 43, no. 2, pp. 365-378, Feb. 1998.
6. S. R. Aylward, B. M. Hemminger and E. D. Pisano, "Mixture modeling for digital mammogram display and analysis", In Digital Mammography, Computational Imaging and Vision, vol. 13, pp. 305-312, 1998.
7. R. J. Ferrari, R. M. Rangayyan, J. E. L. Desautels, R. A. Borges, and A. F. Frère, "Automatic identification of the pectoral muscle in mammograms", IEEE Trans. Med. Imag, vol. 23, no. 2, pp. 232-245, 2004.
8. W. Y. Ma, and B. S. Manjunath, "Edge flow: a technique for boundary detection and image segmentation", IEEE Trans. Med. Imag, vol. 9, no. 8, pp. 1375-1388., 2000.
9. J. Starck, E. Cand'es, D. Donoho,"The curvelet transform for image denoising", IEEE Transactions On image pocessing, 11, pp. 670-684, 2000.
10. A. Buades,. B. Coll, J. Morel, "A nonlocal algorithm for image denoising", IEEE Comp. Soc., vol. 2, pp. 60-65, 2005.
11. P. Perona, J. Malik, "Scale space and edge detection using anisotropic diffusion", IEEE Comp. Soc. , vol. 12, no. 7, pp. 629-639, 1990.
12. J. Weickert, W. Kropatsch, R. Klette, F. Solina, "Theoretical foundations of anisotropic diffusion in image processing", Computing Supplement 11 , Springer Wien, pp. 221-236, 1996.
13. B. Mackiewich, on Nonlinear Diffusion filtering, http://www.cs.sfu.ca/ ~stella/papers/blairthesis/main/node22.html
14. J. Suckling, J. Parker, D. R. Dance, S. Astely, I. Hutt, C. R. M. Boggis, , I. Ricketts, E. Stamakis, N. Cerneaz, S. L. Kok, P. Taylor, D. Betal, and J. Savage "The mammographic image analysis society digital mammogram database", in Digital Mammography: Proc. of the 2nd International Workshop on Digital Mammography, York, England: Elsevier, pp. 375-378, 1994.
15. D. P. Huttenlocher, G. A. Klanderman, W. J. Rucklidge, "Comparing images using the hausdorff distance", IEEE Trans. Pattern Anal. Machine Intell., vol. 15, pp. 850-863, 1993.