Detection of clustered microcalcifications in small field digital mammography

Computer Methods and Programs in Biomedicine

Volumn 81, Issue 1, 2006, Pages 56-65

  Arodź, Tomasz ^a   Kurdziel, Marcin ^a   Popiela, Tadeusz J ^b   Sevre, Erik O D ^c   Yuen, David A ^c  

^a AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Poland)

^b JAGIELLONIAN UNIVERSITY MEDICAL COLLEGE   (Poland)

^c UNIVERSITY OF MINNESOTA   (United States)

Author keywords

2D filtering; Mammogram analysis; Microcalcification detection; Wavelets

Indexed keywords

ALGORITHMS; MAMMOGRAPHY; RADIOLOGY; WAVELET TRANSFORMS;

2D FILTERING; MAMMOGRAM ANALYSIS; MICROCALCIFICATION DETECTION; WAVELETS;

CALCIFICATION (BIOCHEMISTRY);

ALGORITHM; ARTICLE; BREAST BIOPSY; BREAST CANCER; CALCIFICATION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED RADIOGRAPHY; CONTRAST ENHANCEMENT; DIAGNOSTIC VALUE; FILTER; IMAGE ANALYSIS; IMAGE PROCESSING; MAMMOGRAPHY; PLANNING; RADIOLOGIST; SMALL FIELD DIGITAL MAMMOGRAPHY;

ALGORITHMS; BREAST DISEASES; BREAST NEOPLASMS; CALCINOSIS; CLUSTER ANALYSIS; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAMMOGRAPHY; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; ROC CURVE;

EID: 29744448571     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2005.10.002     Document Type: Article

References (40)

1. L. Ries, M. Eisner, C. Kosary, B. Hankey, B. Miller, L. Clegg, A. Mariotto, E. Feuer, and B. Edwards SEER Cancer Statistics Review, 1975-2002 2004 National Cancer Institute Bethesda, MD
2. R. Highnam, and J. Brady Mammographic Image Analysis 1999 Kluwer Academic Publishers Dordrecht, The Netherlands
3. M. Linguraru, J. Brady, and M. Yam Filtering hint images for the detection of microcalcifications W. Niessen M. Viergever Proceedings of the Medical Imaging Computing and Computer Assisted Interventions 2001 629 636
4. M. Linguraru, J. Brady, T. Kadir, and M. Yam A novel method to detect microcalcifications for early signs of breast cancer V. Patel R. Rogers R. Haux Proceedings of the 10th World Congress on Health and Medical Informatics (Medinfo'01) 2001 IOS Press 946
5. M. Linguraru, and J. Brady A non-parametric approach to detecting microcalcifications H. Peitgen Proceedings of the Digital Mammography (IWDM'02) 2002 Springer Verlag 339 341
6. H. Yoshida, K. Doi, and R. Nishikawa Automated detection of clustered microcalcifications in digital mammograms using wavelet transform techniques M.H. Loew Proceedings of the International Society for Optical Engineering, vol. 2167 1994 868 886
7. H. Yoshida, K. Doi, R. Nishikawa, M. Giger, and R. Schmidt An improved computer-assisted diagnostic scheme using wavelet transform for detecting clustered microcalcifications in digital mammograms Acad. Radiol. 3 1996 621 627
8. W. Zhang, H. Yoshida, R. Nishikawa, and K. Doi Optimally weighted wavelet transform based on supervised training for detection of microcalcifications in digital mammograms Med. Phys. 25 1998 949 956
9. N. Wang, and T.C. Karayiannis Detection of microcalcifications in digital mammograms using wavelets IEEE Trans. Med. Imaging 17 4 1998 498 509
10. W. Zhang, K. Doi, M. Giger, Y. Wu, R. Nishikawa, and R. Schmidt Computerized detection of clustered microcalcifications in digital mammograms using a shift-invariant artificial neural network Med. Phys. 21 1994 517 524
11. W. Zhang, K. Doi, M. Giger, R. Nishikawa, and R. Schmidt An improved shift-invariant artificial neural network for computerized detection of clustered microcalcifications in digital mammograms Med. Phys. 23 1996 595 601
12. S. Sehad, S. Desarnaud, and A. Strauss Artificial neural classification of clustered microcalcifications on digitized mammograms Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, vol. 5 1997 4217 4222
13. T. Bhangale, U. Desai, and U. Sharma An unsupervised scheme for detection of microcalcifications on mammograms Proceedings of the International Conference on Image Processing 2000 184 187
14. L. Cordella, F. Tortorella, and M. Vento Combining experts with different features for classifying clustered microcalcifications in mammograms Proceedings of the International Conference on Pattern Recognition, vol. 4 2000 324 327
15. D. Edwards, M. Kupinski, R. Nagel, R. Nishikawa, and J. Papaioannou Using a Bayesian neural network to optimally eliminate false-positive microcalcification detections in a CAD scheme M. Yaffe Digital Mammography 2000 Medical Physics Publishing Madison, WI 168 173
16. I. El-Naqa, Y. Yang, M. Wernick, N. Galatsanos, and R. Nishikawa A support vector machine approach for detection of microcalcifications IEEE Trans. Med. Imaging 21 12 2002 1552 1563
17. D. Zhao, M. Shridhar, and D.G. Daut Morphology on detection of calcifications in mammograms Proceedings of the ICASSP92 1992 3/129 3132/3132
18. T. Netsch, and H.-O. Peitgen Scale-space signatures for the detection of clustered microcalcifications in digital mammograms IEEE Trans. Med. Imaging 18 9 1999 774 786
19. N. Pandey, Z. Salcic, and J. Sivaswamy Fuzzy logic based microcalcification detection B. Widrow Proceedings of the IEEE Neural Networks for Signal Processing Workshop X 2000 IEEE Press 662 671
20. A. Laine, S. Schuler, J. Fan, and W. Huda Mammographic feature enhancement by multiscale analysis IEEE Trans. Med. Imaging 13 1994 725 740
21. W. Veldkamp, and N. Karssemeijer Normalization of local contrast in mammograms IEEE Trans. Med. Imaging 19 7 2000 731 738
22. K. McLoughlin, P. Bones, and N. Karssemeijer Noise equalization for detection of microcalcification clusters in direct digital mammogram images IEEE Trans. Med. Imaging 23 3 2004 313 320
23. P. Snoeren, and N. Karssemeijer Thickness correction of mammographic images by means of a global parameter model of the compressed breast IEEE Trans. Med. Imaging 23 7 2004 799 806
24. Y. Jiang, R. Nishikawa, D. Wolverton, C. Metz, M. Giger, R. Schmidt, C. Vyborny, and K. Doi Malignant and-4pt Radiology 198 1996 671 678
25. W. Veldkamp, N. Karssemeijer, J. Otten, and J. Hendriks Automated classification of clustered microcalcifications into malignant and benign types Med. Phys. 27 11 2000 2600 2608
26. S. Astley, and F. Gilbert Computer-aided detection in mammography Clin. Radiol. 59 2004 390 399
27. Computer-aided Detection (CAD) in Mammography, BCBSA Technology Evaluation Center, vol. 17, No. 17, 2002.
28. C. Lawinski, D. Smith, D. Evans, A. Mackenzie, N. Wells, D. Emerton, C. Lewis, The evaluation of four small-field digital mammography systems, Breast Cancer Res. 2 (Suppl. 2) (2000).
29. J.N. Wolfe Breast parenchymal patterns and their changes with age Radiology 121 1976 545 552
30. M. LeGal, and G. Chavanne Valeur diagnostique des microcalcifications groupees decouvertes par mammographies Bull. Cancer 71 1984 57 64
31. J.S. Lim Two-dimensional Signal and Image Processing 1990 Prentice-Hall
32. D. Chakraborty Maximum likelihood analysis of free-response receiver operating characteristic (FROC) data Med. Phys. 16 4 1989 561 568
33. R. Haralick, S. Sternberg, and X. Zhuang Image analysis using mathematical morpholgy IEEE Trans. Pattern Anal. Mach. Intell. 9 4 1987 532 550
34. H. Heijmans Morphological Image Operators 1994 Academic Press Boston
35. R. Rangayyan, L. Shen, Y. Shen, J. Desautels, H. Bryantand, T. Terry, N. Horeczkoand, and M. Rose Improvement of sensitivity of breast cancer diagnosis with adaptive neighborhood contrast enhancement of mammograms IEEE Trans. Inform. Technol. Biomed. 1 3 1997 161 170
36. S.G. Mallat A theory for multiresolution signal decomposition: the wavelet representation IEEE Trans. Pattern Anal. Mach. Intell. 11 7 1989 674 693
37. I. Daubechies Ten Lectures on Wavelets 1992 Society for Industrial and Applied Mathematics Philadelphia, PA, USA
38. G. Erlebacher, and D.A. Yuen A wavelet toolkit for visualization and analysis of large data sets in earthquake research Pure Appl. Geophys. 161 2004 2215 2229
39. H.D. Cheng, M. Xue, and X.J. Shi Contrast enhancement based on a novel homogeneity measurement Pattern Recog. 36 11 2003 2687 2697
40. N. Cristianini, and J. Shawe-Taylor An Introduction to Support Vector Machines 2000 Cambridge University Press