Gradient and texture analysis for the classification of mammographie masses

IEEE Transactions on Medical Imaging

Volumn 19, Issue 10, 2000, Pages 1032-1043

  Mudigonda, Naga R ^a   Rangayyan, Rangaraj M ^a   Leo Desautels, J E ^a  

^a UNIVERSITY OF CALGARY   (Canada)

Author keywords

Acutance; Breast cancer; Breast masses; Gradient analysis; Mammography; Texture; Tumor classification

Indexed keywords

ARTICLE; BREAST TUMOR; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; IMAGE PROCESSING; MAMMOGRAPHY; RADIOGRAPHY; ROC CURVE;

BREAST NEOPLASMS; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAMMOGRAPHY; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; ROC CURVE;

COMPUTER AIDED DIAGNOSIS; DATABASE SYSTEMS; IMAGE ANALYSIS; ONCOLOGY;

ACUTANCE; GRADIENT ANALYSIS;

MAMMOGRAPHY;

EID: 0034287385     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/42.887618     Document Type: Article

References (37)

1. E. E. Sterns, "Relation between clinical and mammographie diagnosis of breast problems and the cancer/biopsy rate," Can. J. Surg., vol. 39, no. 2, pp. 128-132, 1996.
2. H. C. Burrel, D. M. Sibbering, A. R. Wilson, S. E. Finder, A. J. Evans, L. J. Yeomen, C. W. Elston, I. O. Elus, and R. W. Blarney, "Screening interval breast cancers: Mammographie features and prognostic factors," Radiology, vol. 199, pp. 811-817, 1996.
3. M. J. Homer, Mammographie Interpretation: A Practical Approach. Boston, MA: McGraw-Hill, 1997.
4. N. R. Mudigonda, R. M. Rangayyan, and J. E. L. Desautels, "Concavity and convexity analysis of mammographie masses via an iterative segmentation algorithm," in Proc. Can. Conf. Electrical and Computer Engineering, M. Meng, Ed., Edmonton, AB, Canada, May 1999, pp. 1489-1494.
5. R. M. Rangayyan, N. R. Mudigonda, and J. E. L. Desautels, "Boundary modeling and shape analysis methods for classification of mammographie masses," Med. Biological Eng. Comput., vol. 38, no. 5, pp. 48796, 2000.
6. C. Kimme, B. J. O'Loughlin, and J. Sklansky, "Automatic detection of suspicious abnormalities in breast radiographs," in Data Structures, Computer Graphics, and Pattern Recognition, A. Klinger, K. S. Eu, and T. L. Kunii, Eds. New York: Academic, 1977, pp. 427447.
7. A. Petrosian, H. P. Chan, M. A. Helvie, M. M. Goodsitt, and D. D. Adler, "Computer-aided diagnosis in mammography: classification of mass and normal tissue by texture analysis," Phys. Med. Biol, vol. 39, pp. 2273-2288, 1994.
8. H. P. Chan, D. Wei, M. A. Helvie, B. Sahiner, D. D. Adler, M. M. Goodsitt, and N. Petrick, "Computer-aided classification of mammographie masses and normal tissue: Linear discriminant analysis in texture feature space," Phys. Med. Biol., vol. 40, no. 5, pp. 857-876, 1995.
9. S. K. Kinoshita, P. M. A. Marques, A. F. F. Slates, H. R. C. Marana, R. J. Ferrari, and R. L. Villela, "Detection and characterization of mammographie masses by artificial neural network," in Proc. 4th Int. Workshop Digital Mammography, N. Karssemeijer, M. Thijssen, J. Hendriks, and L. van Erning, Eds., Nijmegen, The Netherlands, June 1998, pp. 48990.
10. Z. Huo, M. L. Giger, C. J. Vyborny, U. Bick, P. Lu, D. E. Wolverton, and R. A. Schmidt, "Analysis of spiculation in the computerised classification of mammographie masses," Med. Phys., vol. 22, no. 10, pp. 1569-1579, 1995.
11. S. L. Kok, J. M. Brady, and L. Tarassenko, "The detection of abnormalities in mammograms," in Proc. 2nd Int. Workshop Digital Mammography, A. G. Gale, S. M. Astley, D. R. Dance, and A. Y Cairns, Eds., York, England, July 10-12, 1994, pp. 261-270.
12. D. Guliato, R. M. Rangayyan, W. A. Carnielli, J. A. Zuffo, and J. E. L. Desautels, "Segmentation of breast tumors in mammograms by fuzzy region growing," in Proc. 20th Annu. Int. Conf. IEEE Engineering in Medicine and Biology Society, Hong Kong, Oct. 29-Nov. 1, 1998, pp. 11:1002-1004.
13. R. M. Rangayyan, N. M. El-Faramawy, J. E. L. Desautels, and O. A. Alim, "Measures of acutance and shape for classification of breast tumours," IEEE Trans. Med. Imag., vol. 16, pp. 799-810, Dec. 1997.
14. W. P. Kegelmeyer, Jr., "Evaluation of stellate lesion detection in a standard mammogram data set," Int. J. Pattern Recogn. Artif. Intell., vol. 7, no. 12, pp. 1477-1493, 1993.
15. B. R. Groshong and W. P. Kegelmeyer Jr, "Evaluation of a Hough transform method for circumscribed lesion detection," in Proc. 3rd Int. Workshop Digital Mammography, K. Doi, M. L. Giger, R. M. Nishikawa, and R. A. Schmidt, Eds., Chicago, IL, June 9-12, 1996, pp. 361-366.
16. H. Kobatake, H. Takeo, and S. Nawano, "Tumor detection system for full-digital mammography," in Proc. 4th Int. Workshop Digital Mammography, N. Karssemeijer, M. Thijssen, J. Hendriks, and L. van Erning, Eds., Nijmegen, The Netherlands, June 1998, pp. 87-94.
17. N. Petrick, H. P. Chan, D. Wei, B. Sahiner, M. A. Helvie, and D. D. Adler, "Automated detection of breast masses on mammograms using adaptive contrast enhancement and texture classification," Med. Phys., vol. 23, no. 10, pp. 1685-1696, 1996.
18. W. E. Polakowski, D. A. Cournoyer, S. K. Rogers, M. P. DeSimio, D. W. Ruck, J. W. Hoffmeister, and R. A. Raines, "Computer-aided breast cancer detection and diagnosis of masses using difference of Gaussians and derivative-based feature saliency," IEEE Trans. Med. Imag., vol. 16, pp. 811-819, Dec. 1997.
19. D. Brzakovic, X. M. Luo, and P. Brzakovic, "An approach to automated detection of tumours in mammograms," IEEE Trans. Med. Imag., vol. 9, pp. 233-241, June 1990.
20. T. K. Lau and W. F. Bischof, "Automated detection of breast tumors using the asymmetry approach," Comput. Biomed. Res., vol. 24, pp. 273-295, 1991.
21. C.E. Priebe, R. A. Lorey, D. J. Marchette, J. L. Solka, and G. W. Rogers, "Nonparametric spatio-temporal change point analysis for early detection in mammography," in Proc. 2nd Int. Workshop Digital Mammography, A. G. Gale, S. M. Astley, D. R. Dance, and A. Y. Cairns, Eds., York, U.K., July 10-12, 1994, pp. 111-120.
22. C. J. Burdett, H. G. Longbotham, M. Desai, W. B. Richardson Jr, andJ. F. Stoll, "Nonlinear indicators of malignancy," in Proc. SPIE Biomédical Image Processing and Biomédical Visualization, vol. 1905, San Jose, CA, February 1993, pp. 853-860.
23. E. Claridge and J. H. Richter, "Characterization of mammographie lesions," in Proc. 2ndlnt. Workshop Digital Mammography, A. G. Gale, S. M. Astley, D. R. Dance, and A. Y Cairns, Eds., York, U.K., July 10-12, 1994, pp. 241-250.
24. B. Sahiner, H. P. Chan, N. Petrick, M. A. Helvie, and M. M. Goodsitt, "Computerized characterization of masses on mammograms: The rubber band straightening transform and texture analysis," Med. Phys., vol. 25, no. 4, pp. 516-526, 1998.
25. M. Sameti, J. Morgan-Parkes, R. K. Ward, and B. Palcic, "Classifying image features in the last screening mammograms prior to detection of a malignant mass," in Proc. 4th Int. Workshop Digital Mammography, N. Karssemeijer, M. Thijssen, J. Hendriks, and L. van Erning, Eds., Nijmegen, The Netherlands, June 1998, pp. 127-134.
26. Y Chitre, A. P. Dhawan, and M. Moskowitz, "Artificial neural network based classification of mammographie microcalcifications using image structure features," Int. J. Pattern Recogn. Artif. Intell, vol. 7, no. 12, pp. 1377-1402, 1993.
27. O. Menut, R. M. Rangayyan, and J. E. L. Desautels, "Parabolic modeling and classification of breast tumours," Int. J. Shape Modeling, vol. 3, no. 3&4, pp. 155-166, 1998.
28. J. A. Ventura and J. M. Chen, "Segmentation of two-dimensional curve contours," Pattern Recogn., vol. 25, no. 10, pp. 1129-1140, 1992.
29. H. C. Higgins and L. A. Jones, "The nature and evaluation of the sharpness of photographic images," J. Soc. Motion Picture Television Engineers, vol. 58, pp. 277-290, 1952.
30. R. M. Rangayyan and S. G. Elkadiki, "Algorithm for the computation of region-based image edge profile acutance," J. Electron. Imag., vol. 4, no. 1, pp. 62-70, 1995.
31. i.C. Russ, The Image Processing Handbook. Raleigh, NC: CRC Press, 1995.
32. R. M. Haralick, "Statistical and structural approaches to texture," Proc. IEEE, vol. 67, pp. 786-804, May 1979.
33. J. Suckling, J. Parker, D. R. Dance, S. Astley, J. Hutt, C. R. M. Doggis, I. Ricketts, E. Stamatakis, N. Cerneaz, S. L. Kok, P. Taylor, D. Betal, and J. Savage, "The Mammographie Image Analysis Society digital mammogram database," in Proc. 2nd Int. Workshop Digital Mammography, A. G. Gale, S. M. Astley, D. R. Dance, and A. Y. Cairns, Eds., York, U.K., July 10-12, 1994, pp. 375-378.
34. M. B. Brown and L. Engelman, BMDP Statistical Software Manual. Berkeley, CA: Univ. California, 1988.
35. G. Engels, "Personal Communication," unpublished, April 2000.
36. N. R. Mudigonda, R. M. Rangayyan, J. E. L. Desautels, and O. Menut, "Segmentation of breast masses in mammograms: A multi-resolution and hierarchical density propagation approach," in Proc. Computer-Assisted Radiology and Surgery, H. U. Lemke, M. W. Vannier, K. Inamura, and A. G. Farman, Eds., Paris, France, June 1999, p. 1014.
37. N. R. Mudigonda, R. M. Rangayyan, and J. E. L. Desautels, "Segmentation and classification of mammographie masses," Proc. SPIE, Vol. 3979: Medical Imaging 2000: Image Processing, pp. 55-67, 2000.