High-performance wavelet compression for mammography: Localization response operating characteristic evaluation

Radiology

Volumn 238, Issue 1, 2006, Pages 62-73

  Kallergi, Maria ^a   Lucier, Bradley J ^b   Berman, Claudia G ^a   Hersh, Marla R ^a   Kim, Jihai J ^a   Szabunio, Margaret S ^a   Clark, Robert A ^a  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

^b PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; BREAST BIOPSY; DIAGNOSTIC ACCURACY; DIGITAL IMAGING; HUMAN; MAJOR CLINICAL STUDY; MAMMOGRAPHY; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; TUMOR LOCALIZATION;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; BREAST DISEASES; HUMANS; MAMMOGRAPHY; MIDDLE AGED; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; ROC CURVE;

EID: 29444433071     PISSN: 00338419     EISSN: None     Source Type: Journal    
DOI: 10.1148/radiol.2381040896     Document Type: Article

References (36)

1. Jemal A, Tiwari RC, Murray T, et al. Cancer statistics, 2004. CA Cancer J Clin 2004;54:8-29.
2. Clark R. Breast cancer screening: is it worthwhile? Cancer Control 1995;2:189-194.
3. Haus AG. Technologic improvements in screen-film mammography. Radiology 1990;174(3):628-637.
4. Kallergi M. Digital mammography: from theory to practice. Cancer Control 1998;5(1):72-79.
5. Joe JE, Penhoet EE, Petitti DB, eds. Saving women's lives: strategies for improving breast cancer detection and diagnosis. Report of Committee on New Approaches to Early Detection and Diagnosis of Breast Cancer, Institute of Medicine and National Research Council. Washington, DC: National Academies Press, 2004.
6. Maitz GS, Chang TS, Sumkin JH, et al. Preliminary clinical evaluation of a high-resolution telemammography system. Invest Radiol 1997;32(4)236-240.
7. Good WF, Maitz GS, Gur D. Joint photographic experts group (JPEG) compatible data compression of mammograms. J Digit Imaging 1994;7(3):123-132.
8. Lucier BJ, Kallergi M, Qian W, et al. Wavelet compression and segmentation of mammographic images. J Digit Imaging 1994;7(1):27-38.
9. Yang Z, Kallergi M, DeVore R, et al. The effect of wavelet bases on the compression of digital mammograms. IEEE Eng Med Biol 1995;14(5):570-577.
10. Beahrs OH, Shapiro S, Smart C, eds. Report of the Working Group to Review the National Cancer Institute-American Cancer Society Breast Cancer Detection Demonstration Projects. J Natl Cancer Inst 1979;62:639-709.
11. Kallergi M, He L, Gavrielides M, Heine J, Clarke LP. Resolution effects on the morphology of calcifications in digital mammograms. In: Medicon '98, Proceedings of VIII Mediterranean Conference on Medical and Biological Engineering and Computing, Lemesos, Cyprus, June 14-17, 1998 [CD-ROM]. Nicosia, Cyprus: Department of Computer Science, University of Cyprus, 1998.
12. Chan HP, Niklason LT, Ikeda DM, Lam KL, Adler DD. Digitization requirements in mammography: effects on computer-aided detection of microcalcifications. Med Phys 1994;21(7):1203-1211.
13. Heine JJ, Kallergi M, Chetelat SM, Clarke LP. Multiresolution wavelet approach for separating the breast region from the background in high resolution digital mammography. In: Karssemeijer N, Thijssen M, Hendriks J, van Erning L, eds. Digital Mammography, Nijmegen, 1998. Proceedings of the Fourth International Workshop on Digital Mammography, June 2-6, Nijmegen, the Netherlands. Dordrecht, the Netherlands: Kluwer Academic Publishers, 1998;295-298.
14. Chambolle A, DeVore RA, Lee NY, Lucier BJ. Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage. IEEE Trans Image Process 1998;7:319-335.
15. DeVore RA, Jawerth B, Lucier BJ. Image compression through wavelet transform coding. IEEE Trans Inform Theory 1992;38:719-746.
16. DeVore RA, Lucier BJ. Fast wavelet techniques for near-optimal image processing, In: IEEE Military Communications Conference Record, San Diego, October 11-14, 1992, Piscataway, NJ: Institute of Electrical and Electronics Engineers, 1992;1129-1135.
17. Daubechies I. Ten lectures on wavelets. Philadelphia, Pa: Society for Industrial and Applied Mathematics, 1992.
18. Pennebaker WB, Mitchell JL, Langdon GG Jr, Arps RB. An overview of the basic principles of the Q-Coder adaptive binary arithmetic coder. IBM J Res Dev 1988;32:717-727.
19. Langdon GG. An introduction to arithmetic coding. IBM J Res Dev 1984;28:135-149.
20. Yaffe MJ, Nishikawa RM. X-ray imaging concepts: noise SNR, and DQE. In: Seibert JA, Barnes GT, Gould RB, eds. Specification, acceptance testing, and quality control of diagnostic x-ray imaging equipment. Med Phys Monograph no. 20. College Park, Md: American Association of Physicists in Medicine, 1994;109-144.
21. Kasturi R, Krile TF, Walkup JF. Image recovery from signal-dependent noise. Opt Lett 1983;8(7):401-403.
22. Chang SG, Yu B, Vetterli M. Adaptive wavelet thresholding for image denoising and compression. IEEE Trans Image Process 2000;9:1532-1546.
23. Eskicioglu AM, Fisher PS. Image quality measures and their performance. IEEE Trans Commun 1995;43(12):2959-2965.
24. Metz CE. ROC methodology in radiologic imaging. Invest Radiol 1986;21:720-733.
25. Dorfman DD, Berbaum KS, Metz CE. Receiver operating characteristic rating analysis: generalization to the population of readers and patients with the jackknife method. Invest Radiol 1992;27:723-731,
26. Swensson RG. Unified measurement of observer performance in detecting and localizing target objects on images. Med Phys 1996;23(10):1709-1725.
27. Seltzer SE, Swensson RG, Nawfel RD, Lentini JF, Kazda I, Judy PF. Visualization and detection-localization on computed tomographic images. Invest Radiol 1991;26:285-294.
28. Digital imaging and communications in medicine (DICOM) Part 14: grayscale standard display function. PS 3.14-2004. Rosslyn, Va: National Electronic Manufacturers Association, 2004.
29. Swensson RG, Maitz G, King JL, Gur D. Using incomplete and imprecise localization data on images to improve estimates of detection accuracy. In: Krupinski EA, ed. Proceedings of SPIE: Medical imaging 1999-image perception and performance. Vol 3663. Bellingham, Wash: International Society for Optical Engineering, 1999;74-81.
30. Swerisson RG. LROC program. http://www .radiology.arizona.edu/krupinski/ mips/rocprog .html. Accessed August 26, 2004.
31. Kallergi M, Heine JJ, Berman CG, Hersh MR, Romilly AP, Clark RA. Improved interpretation of digitized mammography with wavelet processing: a localization response operating characteristic study. AJR Am J Roentgenol 2004;182:697-703.
32. Chakraborty DP, Berbaum KS. Observer studies involving detection and localization: modeling, analysis, and validation. Med Phys 2004;31(8):2313-2330.
33. Kallergi M, Hersh MR, Thomas JA. Using BIRADS categories in ROC experiments. In: Chakraborty DP, Krupinski EA, eds. Proceedings of SPIE: medical imaging 2002-image perception, observer performance, and technology assessment. Vol 4686. Bellingham, Wash: International Society for Optical Engineering, 2002;60-67.
34. Kallergi M, Gavrielides MA, Gross WW, Clarke LP. Evaluation of a CCD-based film digitizer for digital mammography. In: Van Metter RL, Beutel J, eds. Proceedings of SPIE: medical imaging 1997-physics of medical imaging. Vol 3032. Bellingham, Wash: International Society for Optical Engineering, 1997;282-291.
35. Heine JJ, Velthuizen RP. Spectral analysis of full field digital mammography data. Med Phys 2002;29:647-661.
36. Kalelergi M, Berman CG, Heine JJ, et al. Effect of default display and presentation protocol on softcopy mammography. In: Peitgen HO, ed. Digital mammography IWDM 2002. New York, NY: Springer-Verlag, 2003;446-448.