A method to improve visual similarity of breast masses for an interactive computer-aided diagnosis environment

Medical Physics

Volumn 33, Issue 1, 2006, Pages 111-117

  Zheng, Bin ^a   Lu, Amy ^a   Hardesty, Lara A ^a   Sumkin, Jules H ^a   Hakim, Christiane M ^a   Ganott, Marie A ^a   Gur, David ^a  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

Computer aided detection; Interactive computer aided diagnosis; Mammography; Mass spiculation; Visual similarity

Indexed keywords

IMAGE ENHANCEMENT; MAMMOGRAPHY; NEAREST NEIGHBOR SEARCH;

ALTERNATIVE FORCED CHOICE; COMPUTER AIDED DETECTION; COMPUTER AIDED DIAGNOSIS(CAD); INTERACTIVE APPROACH; K NEAREST NEIGHBOR ALGORITHM; MASS SPICULATION; REGIONS OF INTEREST; VISUAL SIMILARITY;

COMPUTER AIDED DIAGNOSIS;

ALGORITHM; ARTICLE; BREAST CANCER; BREAST EXAMINATION; BREAST TUMOR; CANCER DIAGNOSIS; COMPUTER; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; DIAGNOSTIC PROCEDURE; DISEASE SEVERITY; FALSE POSITIVE RESULT; FEMALE; FREQUENCY ANALYSIS; HUMAN; IMAGE ANALYSIS; MALE; MAMMOGRAPHY; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; OBSERVER VARIATION; PRIORITY JOURNAL; RADIOLOGIST; RATING SCALE; STATISTICAL SIGNIFICANCE; TUMOR DIAGNOSIS; VISUAL ANALOG SCALE;

EID: 31044436417     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.2143139     Document Type: Article

References (28)

1. R. A. Castellino, J. R. Roehrig, and W. Zhang, "Improved computer-aided detection (CAD) algorithms for screening mammograms," Radiology 217, 400 (2000).
2. R. F. Brem, J. W. Hoffmeister, G. Zisman, M. P. DeSimio, and S. K. Rogers, "A computer-aided detection system for evaluation of breast cancer by mammographic appearance and lesion size," AJR, Am. J. Roentgenol. 184, 893-896 (2005).
3. C. J. D'Orsi, "Computer-aided detection: There is no free lunch," Radiology 221, 585-586 (2001).
4. T. M. Freer and M. J. Ulissey, "Screening mammography with computer-aided detection: Prospective study of 12,860 patients in a community breast center," Radiology 220, 781-786 (2001).
5. D. Gur, J. H. Sumkin, H. E. Rockette, M. Ganott, C. Hakim et al., "Changes in breast cancer detection and mammography recall rates after the introduction of a computer-aided detection system," J. Natl. Cancer Inst. 96, 185-190 (2004).
6. D. Gur, J. S. Stalder, L. A. Hardesty, B. Zheng, and J. H. Sumkin, "Computer-aided detection performance in mammographic examination of masses: Assessment," Radiology 223, 418-423 (2004).
7. B. Zheng, L. A. Hardesty, W. R. Poller, J. Sumkin, and S. Golla, "Computer-aided detection in mammography: A reproducibility assessment-initial experience," Radiology 228, 58-62 (2003).
8. C. G. Taylor, J. Champness, M. Reddy, P. Taylor, H. W. Potts, and R. Given-Wilson, "Reproducibility of prompts in computer-aided detection (CAD) of breast cancers," Clin. Radiol. 58, 733-738 (2003).
9. J. A. Baker, J. Y. Lo, D. M. Delong, and C. E. Floyd, "Computer-aided detection in screening mammography: Variability in cues," Radiology 233, 411-417 (2004).
10. K. Moberg, N. Bjurstam, B. Wilczek, L. Rostgard, E. Egge, and C. Muren, "Computer assisted detection of interval breast cancers," Eur. J. Radiol. 39, 104-110 (2001).
11. C. E. Kahn, L. M. Roberts, K. A. Shaffer, and P. Haddawy, "Construction of a Bayesian network for mammographic diagnosis of breast cancer," Comput. Biol. Med. 27, 1929-1937 (1997).
12. M. L. Giger, Z. Huo, C. J. Vyborny, L. Lan, I. Bonta, K. Horsch, R. M. Nishikawa, and I. Rosenbourgh, "Intelligent CAD workstation for breast imaging using similarity to known lesions and multiple visual prompt aids," Proc. SPIE 4684, 768-773 (2002).
13. G. D. Tourassi, R. Vargas-Voracek, D. M. Catarious, and C. E. Floyd, "Computer-assisted detection of mammographic masses: A template matching scheme based on mutual information," Med. Phys. 30, 2123-2130 (2003).
14. I. El-Naqa, Y. Yang, N. P. Galatsanos, R. M. Nishikawa, and M. N. Wernick, "A similarity learning approach to content-based image retrieval: Application to digital mammography," IEEE Trans. Med. Imaging 23, 1233-1244 (2004).
15. Q. Li, F. Li, J. Shiraishi, S. Katsuragawa, S. Sone, and K. Doi, "Investigation of new psychophysical measures for evaluation of similar images on thoracic computed tomography for distinction between benign and malignant nodules," Med. Phys. 30, 2584-2593 (2003).
16. C. Muramatsu, Q. Li, K. Suzuki, R. A. Schmidt, J. Shiraishi, G. M. Newstead, and K. Doi, "Investigation of psychophysical measures for evaluation of similar images for mammographic masses: preliminary results," Med. Phys. 32, 2295-2304 (2005).
17. G. M. Brake and N. Karssemeijer, "Segmentation of suspicious densities in digital mammograms," Med. Phys. 28, 259-266 (2001).
18. B. Zheng, J. H. Sumkin, W. F. Good, G. S. Maitz, Y. H. Chang, and D. Gur, "Applying computer-assisted detection schemes to digitized mammograms after JPEG data compression: An assessment," Acad. Radiol. 7, 595-602 (2000).
19. B. Zheng, J. K. Leader, G. Abrams, B. Shindel, and D. Gur, "Computer-aided detection schemes: The effect of Limiting the number of cued regions in each case," AJR, Am. J. Roentgenol. 182, 579-583 (2004).
20. T. M. Mitchell, Machine Learning (WCB McGraw-Hill, Boston, MA, 1997), pp. 230-247.
21. B. Zheng, Y. H. Chang, W. F. Good, and D. Gur, "Performance gain in computer-assisted detection schemes by averaging scores generated from artificial neural networks with adaptive filtering," Med. Phys. 28, 2302-2308 (2001).
22. B. Zheng, Y. H. Chang, X. H. Wang, W. F. Good, and D. Gur, "Feature selection for computerized mass detection in digitized mammograms using a genetic algorithm," Acad. Radiol. 6, 327-332 (1999).
23. M. Kantrowitz, "Prime time freeware for AI, issue 1-1: selected materials from the Carnegia Mellon University, Artifical Intelligence Repository," Prime Time Freeware, Sunnyvale, CA, 1994.
24. C. E. Metz, "ROCFIT 0.9B Beta version," University of Chicago, http://www-radiology.uchicago.edu/krl/, 1998.
25. B. Rosner, Fundamentals of Biostatistics, 5th ed. (Duxbury, Pacific Grove, CA, 2000).
26. W. P. Kegelmeyer, J. M. Pruneda, P. D. Bourland, A. Hillis, M. W. Riggs, and M. L. Nipper, "Computer-aided mammographic screening for spiculated lesions," Radiology 191, 331-337 (1994).
27. R. M. Rangayyan, N. R. Mudigonda, and J. E. Desautels, "Boundary modeling and shape analysis methods for classification of mammographic masses," Med. Biol. Eng. Comput. 38, 487-496 (2000).
28. B. Sahiner, H. P. Chan, N. Petrick, M. A. Helvie, and L. M. Hadjiiski, "Improvement of mammographic mass characterization using spiculation measures and morphological features," Med. Phys. 28, 1455-1465 (2001).