Ipsilateral-mammogram computer-aided detection of breast cancer

Computerized Medical Imaging and Graphics

Volumn 28, Issue 3, 2004, Pages 151-158

  Sun, Xuejun ^a   Qian, Wei ^a   Song, Dansheng ^a  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

Computer aided detection; Concurrent analysis; Free response receiver operating characteristic; Fuzzy C means; Image processing; Ipsilateral mammogram; Wavelet transform

Indexed keywords

ALGORITHMS; BACKPROPAGATION; COMPUTER AIDED DIAGNOSIS; CORRELATION METHODS; FUZZY SETS; IMAGE ENHANCEMENT; ITERATIVE METHODS; KALMAN FILTERING; NEURAL NETWORKS; SPURIOUS SIGNAL NOISE; TUMORS; WAVELET TRANSFORMS;

DIGITAL MAMMOGRAMS; MULTI-VIEW MAMMOGRAMS;

MAMMOGRAPHY;

ALGORITHM; ARTICLE; BREAST CARCINOMA; COMPUTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; CORRELATION ANALYSIS; DIAGNOSTIC IMAGING; DIGITAL RADIOGRAPHY; HUMAN; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; INTERMETHOD COMPARISON; LABORATORY DIAGNOSIS; MAMMOGRAPHY; NONLINEAR SYSTEM; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC;

BREAST NEOPLASMS; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; FUZZY LOGIC; HUMANS; MAMMOGRAPHY; UNITED STATES;

EID: 1842664403     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2003.11.004     Document Type: Article

References (32)

1. Giger M.L. Computer-aided detection of masses. PHS OWH/NCI joint working group on computer-aided diagnosis and 3-D image analysis and display. October 8-9 1998;University Park Hotel at MIT, Cambridge, MA.
2. Beam C.A., Layde P.M., Sullivan D.C. Variability in the interpretation of screening mammograms by US radiologists, findings from a national sample. Arch Intern Med. 156:(2):1996;209-213.
3. Bird R.E., Walle T.W., Yankaskas B.C. Analysis of cancers missed at screening mammography. Radiology. 184:1992;613-617.
4. Duncan J.S., Ayache N. Medical image analysis: progress over two decades and the challenge ahead. IEEE Trans Pattern Anal Machine Intell. 22:(1):2000;85-106.
5. Chan H.P., Sahiner B., Helvie M.A., Petrick N., Roubidoux M.A., Wilson T.E., Adler D.D., Paramagul C., Newman J.S., Sanjay-Gopal S. Improvement of radiologists' characterization of mammographic masses by using computer-aided diagnosis: an ROC study. Radiology. September:1999;817-827.
6. Giger ML, Lu P, Huo Z, Bick U, Vyborny CJ, Schmidt RA, Zhang W, Metz CE, Wolverton D, Nishikawa RM, Zouras W, Doi K. CAD in digital mammography: computerized detection and classification of masses. Digit Mammography 281-7.
7. Karssemeijer N. Detection of masses in mammograms. Strickland R.N. Image-processing techniques for tumor detection. 2002;187-212 Marcel Dekker, New York.
8. Li H.D., Kallergi M., Clarke L.P., Clark R.A. Markov random field for tumor detection in digital mammography. IEEE Trans Med Imaging. 14:(3):1995;565-576.
9. Li L., Qian W., Clarke L.P. Digital mammography: CAD method for mass detection using multiresolution and multiorientation wavelet transforms. Acad Radiol. October:1997.
10. Nishikawa R.M., Giger M.L., Schmidt R.A. Prospective testing of a clinical mammography workstation for CAD: analysis of the first 10,000 cases. Proceedings of Fourth Internal, Workshop on Digital Mammography, The Netherlands. June 7-10 1998.
11. Petrick N., Chan H.P., Wei D., Sahiner B., Helvie M.A., Adler D.D. Automated detection of breast masses on mammograms using adaptive contrast enhancement and texture classification. Med Phys. 23:(10):1996;1685-1696.
12. Qian W., Clarke L.P., Kallergi M., Clark R.A. Tree-structured nonlinear filters in digital mammography. IEEE Trans Med Imaging. 13:(1):1994;25-36.
13. Qian W., Sun X., Song D., Clark R.A. Digital mammography: wavelet transform and Kalman filtering neural network in mass segmentation and detection. Acad Radiol. 8:(11):2001;1074-1082.
14. Sun X., Qian W., Song D., Clark R.A. Ipsilateral multi-view CAD system for mass detection in digital mammography. IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA2001) Kauai, Hawaii, USA. December 9-10 2001.
15. Sun X., Qian W., Clark R.A. Adaptive computer-aided diagnosis system for mass detection in multi-view digital mammography. Int J Cancer. 100:(S13):2002;355.
16. Lau T.K., Bischof W.F. Automated detection of breast tumors using the asymmetry approach. Comput Biomed Res. 24:1991;273-295.
17. Yin F.F., Giger M.L., Doi K., Vyborny C.J., Schmidt R.A. Computerized detection of masses in digital mammograms: automated alignment of breast images and its effect on bilateral-subtration technique. Med Phys. 21:(3):1994;445-452.
18. Good W.F., et al. Multi-image CAD employing features derived from ipsilateral mammographic views, vol. 3661. SPIE Conference on Image Processing, San Diego. 1999.
19. Wald NJ, Murphy P, Major P, Parkes C, Townsend J, Frost C. UKCCCR multicentre randomized controlled trial of one and two view mammography in breast cancer screening. BMJ 311:1189-93.
20. Qian W., Sun X., Clark R.A. A novel optimization methodology for mass detection in digital mammography. Qian J.Z., Schaller S., Zhang S. Diagnostic imaging and Analysis. 2002;Shanghai Scientific and Technological Literature Publishing House, Shanghai, China.
21. Sun X., Qian W., Clark R.A. Computer-aided diagnosis (CAD) of breast cancer on full field digital and screening film mammograms. MEDICAL IMAGING 2003, San Diego, CA, USA. February 15-20 2003.
22. Qian W., Clarke L.P., Kallergi M. Wavelet transformation for image segmentation and analysis. American Association of Physicists in Medicine Annual Meeting, Washington DC. August 1993;. Invited Presentation.
23. Qian W., Clarke L.P., Kallergi M., Li H.D., Velthuizen R.P., Clark R.A., Silbiger M.L. Tree-structured nonlinear filter and wavelet transform for microcalcification segmentation in mammography. Proceedings of the IS&T/SPIE Annual Symposium on Electronic Imaging, Science & Technology, San Jose, California. 1993.
24. Qian W., Clarke L.P. Digital mammography: hybrid 4-channel wavelet transform for microcalcification segmentation. Acad Radiol. 5:(5):1998;354-365.
25. Qian W., Li L., Clarke L.P. Image feature extraction for mass detection using digital mammography: influence of wavelet analysis. Med Phys. 26:(3):1999;402-408.
26. Pham D.L., Prince J.L. An adaptive fuzzy C-means algorithm f or image segmentation in the presence of intensity inhomogeneities. Pattern Recognit Lett. 20:1999;57-68.
27. Qian W., Sun X., Clark R.A. Multiresolution/multiorientation based nonlinear filters for image enhancement and detection in digital mammography. J X-ray Sci Technol. (9):2002;1-15.
28. American College of Radiology (ACR). Breast imaging reporting and data system (BI-RADS™). 3rd ed :1998;American College of Radiology, Reston (VA).
29. Conner R.W. Towards a set of statistical features which measure visually perceivable qualities of textures. Proceedings of the IEEE Conference On Pattern Recognition and Image Processing. 1979;. p. 382-90.
30. Haralick R.M., Shanmugam K., Dinstein I. Texture features for image classification. IEEE Trans Syst Man Cybern. 3:1973;610-621.
31. Zheng B., Qian W., Clarke L.P. Digital mammography: mixed feature neural network with spectral entropy decision for detection of microcalcifications. IEEE Trans Med Imaging. 15:1996;589-597.
32. Chakraborty D.P. Maximum likelihood analysis of free-response receiver operating characteristic data. Med Phys. 16:(4):1989;561-568.