Automated optimization of JPEG 2000 encoder options based on model observer performance for detecting variable signals in x-ray coronary angiograms

IEEE Transactions on Medical Imaging

Volumn 23, Issue 4, 2004, Pages 459-474

  Zhang, Yani ^a   Pham, Binh T ^a   Eckstein, Miguel P ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Automated optimization; Detection performance; Image compression; JPEG 2000; Model observer; Psychophysical study; SKEV SKS task

Indexed keywords

ANGIOGRAPHY; GENETIC ALGORITHMS; IMAGE CODING; IMAGE COMPRESSION; IMAGE QUALITY; MATHEMATICAL MODELS; OPTIMIZATION;

AUTOMATED OPTIMIZATION; DETECTION PERFORMANCE;

MEDICAL IMAGING;

ALGORITHM; ANGIOCARDIOGRAPHY; ARTICLE; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; EVALUATION; EXPERT SYSTEM; HUMAN; HYPERMEDIA; INFORMATION PROCESSING; METHODOLOGY; NON-PROGRAMMATIC; OBSERVER VARIATION; QUALITY CONTROL; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STANDARD; UNITED STATES; VALIDATION STUDY;

NON-PROGRAMMATIC;

ALGORITHMS; BENCHMARKING; COMPUTER GRAPHICS; CORONARY ANGIOGRAPHY; DATA COMPRESSION; EXPERT SYSTEMS; HUMANS; HYPERMEDIA; IMAGE INTERPRETATION, COMPUTER-ASSISTED; OBSERVER VARIATION; QUALITY CONTROL; REFERENCE STANDARDS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; UNITED STATES;

EID: 1942519429     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2004.824153     Document Type: Article

References (64)

1. J. Oh and S. I. Woolley, "Diagnostic quality for wavelet-compressed digital angiogram images," in Proc. Inst. Elect. Eng. Image Processing and Applications Conf. (IPA'99), Manchester, U.K., 1999, pp. 512-516.
2. G. Koning, P. Bretta, P. Zwart, E. Hekking, and J. H. Reiber, "Effect of lossy data compression on quantitative coronary measurements," Int. J. Cardiac Imag., vol. 13, pp. 261-270, Aug. 1997.
3. B. J. Erickson, "Irreversible compression of medical images," J. Digital Imag., vol. 15, pp. 5-14, Apr. 2002.
4. K. R. Persons, N. J. Hangiandreou, N. T. Charboneau, J. W. Charboneau, E. M. James, B. R. Douglas, A. P. Salmon, J. M. Knudsen, and B. J. Erickson, "Evaluation of irreversible JPEG compression for a clinical ultrasound practice," J. Digital Imag., vol. 15, pp. 15-21, Apr. 2002.
5. C. Christopoulos, A. Skodras, and T. Ebrahimi, "The JPEG 2000 still image coding system: An overview," IEEE Trans. Consumer Electron., vol. 46, pp. 1103-1127, Nov. 2000.
6. M. Antonini, M. Barlaud, P. Mathieu, and I. Daubechies, "Imge coding using wavelet transform," IEEE Trans. Image Processing, vol. 1, pp. 205-220, Apr. 1992.
7. M. D. Adams and F. Kossentini, Jasper: A software-based JPEG-2000 codec implementation. presented at Inf. Conf. Image Processing. [Online]. Available: http://www.ece.uvic.ca/mdadams/jasper/
8. M. Rabbani and R. Joshi, "An overview of the JPEG 2000 still image compression standard," Signal Processing: Image Commun., vol. 17, pp. 3-48, 2002.
9. J. L. Mannos and J. D. Sakrison, "The effects of a visual fidelity criterion on the encoding of images," IEEE Trans. Inform. Theory, vol. IT-20, pp. 525-536, Apr. 1974.
10. M. P. Eckstein, J. L. Bartroff, C. K. Abbey, J. S. Whiting, and F. O. Bochud, "Automated computer evaluation and optimization of image compression of X-ray coronary angiograms for signal known exactly detection tasks," Opt. Express, vol. 11, pp. 460-475, Mar. 2003.
11. H. H. Barrett, J. Yao, J. P. Rolland, and K. J. Myers, "Model observers for assessment of image quality," Proc. Nat. Acad. Sci., vol. 90, pp. 9758-9765, 1993.
12. K. J. Myers, "Ideal observer models of visual signal detection," in Handbook of Medical Imaging: Physics and Psychophysics. Bellingham: SPIE, 2000, pp. 559-562.
13. M. A. Kupinski, J. W. Hoppin, E. Clarkson, and H. H. Barrett, "Ideal-observer computation in medical imaging with use of markov-chain monte carlo techniques," J. Opt. Soc. Amer. A, Opt. Image Sci., vol. 20, pp. 430-439, 2003.
14. A. E. Burgess, R. F. Wagner, R. J. Jennings, and H. B. Barlow, "Efficiency of human visual signal discrimination," Science, vol. 214, pp. 93-94, 1981.
15. A. E. Burgess and H. Ghandeharian, "Visual signal detection. II. Signal location identification," J. Opt. Soc. Amer. A, Opt. Image Sci., vol. 1, pp. 906-910, 1984.
16. K. J. Myers, H. H. Barrett, M. C. Borgstrom, D. D. Patton, and G. W. Seeley, "Effect of noise correlation on detectability of disk signals in medical imaging," J. Opt. Soc. Amer. A, Opt. Image Sci., vol. 2, pp. 1752-1759, 1985.
17. R. D. Fiete, H. H. Barrett, W. E. Smith, and K. J. Myers, "Hotelling trace criterion and its correlation with human-observer performance," J. Opt. Soc. Amer. A, Opt. Image Sci., vol. 4, pp. 945-963, May 1987.
18. J. Yao and H. H. Barrett, "Predicting human performance by a channelized Hotelling observer model," in Math. Meth. Med. Imag., SPIE, vol. 1768, 1992, pp. 161-168.
19. J. P. Rolland and H. H. Barrett, "Effect of random background inhomogeneity on observer detection performance," J. Opt. Soc. Amer. A, Opt. Image Sci., vol. 9, pp. 649-658, 1992.
20. A. E. Burgess, "Visual signal detection with two-component noise: Low-pass spectrum effects," J. Opt. Soc. Amer. A, Opt. Image Sci., vol. 16, pp. 694-704, 1996.
21. "Medical Imaging - The Assessment of Image Quality,", Tech. Rep. 54, 1996.
22. A. E. Burgess, X. Li, and C. K. Abbey, "Visual signal detectability with two noise components: Anomalous masking effetcs," J. Opt. Soc. Amer. A, Opt. Image Sci., vol. 14, pp. 2420-2442, 1997.
23. C. K. Abbey and H. H. Barrett, "Human- and model-observer performance in ramp-spectrum noise: Effects of reularization and object variability," J. Opt. Soc. Amer. A, Opt. Image Sci., vol. 18, pp. 473-488, 2001.
24. M. P. Eckstein and J. S. Whiting, "Lesion detection in structured noise," Acad. Radiol., vol. 2, pp. 249-253, 1995.
25. M. P. Eckstein, C. K. Abbey, F. O. Bochud, J. L. Bartroff, and J. S. Whiting, "Effect of image compression in model and human performance," in Proc. SPIE: Medical Imaging 1999: Image Perception and Performance, vol. 3663, E. A. Krupinski, Ed., 1999, pp. 243-252.
26. M. P. Eckstein, C. K. Abbey, and J. L. Bartroff, "Model observer based optimization of image compression algorithms," in Proc. SPIE: Medical Imaging: Image Perception, vol. 3981, K. M. Hanson, Ed., 2000, pp. 106-115.
27. Y. Zhang, B. Pham, and E. P. Eckstein, "Evaluation of JPEG 2000 Encoder Options: Human and Model Observer Detection of Variable Signals in X-Ray Coronary Angiograms," IEEE Trans. Med. Imag., 2004, to be published.
28. Y. Zhang, B. Pham, and M. P. Eckstein, "Investigation of jpeg 2000 encoder options on model observer performance in signal known exactly but variable tasks (SKEV)," in Proc. SPIE: Medical Imaging: Image Perception, Observer Performance and Technology Assessment, vol. 5034, D. P. Chakraborty and E. A. Krupinski, Eds., 2003, pp. 371-382.
29. J. H. Holland, Adaptation in Natural and Artificial Systems. Ann Arbor, MI: Univ. Michigan Press, 1975.
30. P. Andrey and P. Tarroux, "Unsupervised segmentation of Markov random field modeled textured images using selectionist relaxation," IEEE Trans. Pattern Anal. Machine Intell., vol. 20, no. 3, pp. 252-262, 1998.
31. D. Beasley, D. R. Bull, and R. R. Martin, An Overview of Genetic Algorithm, 1993.
32. S. M. Bhandarkar and H. Zhang, "Image segmentation using evolutionary computation," IEEE Trans. Evol. Comput., vol. 3, pp. 1-21, 1999.
33. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. Reading, MA: Addison-Wesley, 1989.
34. M. Gen and R. Cheng, Genetic Algorithms and Engineering Design. New York: Wiley, 1997.
35. M. Anastasio, H. Yoshida, R. Nagel, R. Nishikawa, and K. Doi, "A genetic algorithm-based method for optimizing the performance of a computer-aided diagnosis scheme for detection of clustered microcalcifications in mammograms," Medical Physics, vol. 25, pp. 1613-1620, 1998.
36. J. Yang and V. Honavar, "Feature subset selection using a genetic algorithm," IEEE J. Intell. Syst., vol. 13, pp. 44-49, Mar./Apr. 1998.
37. M. Gudmundsson, E. A. El-Kwae, and M. R. Kabuka, "Edge detection in medical images using a genetic algorithm," IEEE Trans. Med. Imag., vol. 17, pp. 469-474, June 1998.
38. C. K. Chow, H. T. Tsui, T. Lee, and T. K. Lau, "Medical image registration and model construction by genetic algorithms," in Proc. Int. Workshop Medical Imaging and Augmented Reality, 2001, pp. 174-179.
39. J. M. Rouet, J. J. Jacq, and C. Roux, "Genetic algorithms for a robust 3-D MR-CT registration," IEEE Trans. Inform. Technol. Biomed., vol. 4, pp. 126-136, June 2000.
40. C. A. Morioka, C. K. Abbey, M. P. Eckstein, R. A. Close, J. S. Whiting, and M. LeFree, "Simulating coronary arteries in X-ray angiograms," Med. Phys., vol. 27, pp. 2438-2443, 2000.
41. M. Ishida, K. Doi, L. N. Loo, C. E. Metz, and J. L. Lehr, "Digital image processing: Effect of detectability of simulated low-contrast radiographic patterns," Radiology, vol. 150, pp. 569-575, 1984.
42. R. F. Wagner and K. E. Weaver, "An assortment of image quality indices for radiographic film-screen combinations-can they be resolved?," in Proc. SPIE: In Application of Optical Instrumentation in Medicine, vol. 35, 1972, pp. 83-94.
43. A. E. Burgess, "Statistically defined backgrounds: Performance of a modified nonprewhitening matched filter models," J. Opt. Soc. Amer. A, Opt. Image Sci., vol. 11, pp. 1237-1242, 1994.
44. H. H. Barrett, C. K. Abbey, B. G. Gallas, and M. P. Eckstein, "Stabilized estimates of Hotelling-observer detection performance in patient-structures noise," in Proc. SPIE, Medical Imaging 1998: Image Perception, vol. 3340, H. L. Kundel, Ed., 1998, pp. 27-43.
45. K. J. Myers and H. H. Barrett, "Addition of a channel mechanism to the ideal-observation model," J. Opt. Soc. Amer. A, Opt. Image Sci., vol. 4, pp. 2447-2457, 1987.
46. M. P. Eckstein, C. K. Abbey, and F. O. Bochud, "A practical guide to model observers for visual detection in synthetic and natural noisy images," in Handbook of Medical Imaging: Physics and Psychophysics. Bellingham, WA: SPIE Press, 2000, pp. 593-628.
47. F. O. Bochud, C. K. Abbey, and M. P. Eckstein, "Visual signal detection in structured backgrounds. III. Calculation of figures of merit for model observers in statistically nonstationary backgrounds," J. Opt. Soc. Amer. A, Opt. Soc. Image Sci., vol. 17, pp. 193-205, 2000.
48. M. P. Eckstein, C. K. Abbey, and F. O. Bochud, "Visual signal detection in structured backgrounds IV. Figures of merit for model performance in multiple-alternative forced-choice detection tasks correlated responses," J. Opt. Soc. Amer. A, Opt. Image Sci., vol. 17, pp. 206-217, 2000.
49. W. W. Peterson, T. G. Birdsall, and W. C. Fox, "The theory of signal detectability," Trans. IRE Inform. Theory PGIT, vol. 4, pp. 171-212, 1954.
50. A. E. Eiben, R. Hinterding, and Z. Michalewicz, "Parameter control in evolutionary algorithms," IEEE Trans. Evol. Comput., vol. 3, pp. 124-141, July 1999.
51. Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs, 2nd ed. Berlin, Germany: Springer-Verlag, 1994.
52. DICOM Part 14: Grayscale Standard Display Function (2003). [Online]. Available: http://medical.nema.org/dicom/2003.htmp
53. A. E. Burgess and B. Colborne, "Visual signal detection. IV. Observer inconsistency," J. Opt. Soc. Amer. A, Opt. Image Sci., vol. 5, pp. 617-627, 1988.
54. M. P. Eckstein, A. J. Ahumada, and A. B. Watson, "Visual signal detection in structured backgrounds. II. Effects of contrast gain control, background variations, and white noise," J. Opt. Soc. Amer. A, Opt. Image Sci., vol. 14, pp. 2406-2419, 1997.
55. D. G. Pelli, "Uncertainty explains many aspects of visual contrast detection and discrimination," J. Opt. Soc. Amer. A, Opt. Image Sci., vol. 2, pp. 1508-1532, 1985.
56. W. P. J. Tanner, "Physiological implications of psychophysical data," Ann. New York Acad. Sciences, vol. 89, pp. 752-765, 1961.
57. C. A. Morioka, M. P. Eckstein, J. L. Bartroff, J. Hausleiter, G. Aharanov, and J. S. Whiting, "Observer performance for JPEG vs. wavelet image compression of X-ray coronary angiogram," Opt. Express, vol. 5, pp. 8-19, July 1999.
58. S. Silber, R. Drr, G. Zindler, H. Mhling, and T. Diebel, "Impact of various compression rates on interpretation of digital coronary angiograms," Int. J. Cardiol., vol. 60, pp. 195-200, June 1997.
59. W. A. Baker, S. E. Hearne, L. A. Spero, K. G. Morris, R. A. Harrington, M. H. Sketch, V. S. Behar, Y. Kong, R. H. Peter, T. M. Bashore, J. K. Harrison, and J. T. Cusma, "Lossy (15:1) JEPG compression of digital coronary angiograms does not limit detection of subtle morphological features," Circulation, vol. 96, pp. 1157-1164, 1997.
60. J. L. Elion and J. S. Whiting, "Clinical use of lossy image compression in digital angiography," Amer. J. Cardiol., vol. 78, pp. 219-220, 1996.
61. B. Zhao, L. H. Schwarz, and P. K. Kijewski, "Effects of lossy compression on lesion detection: Predictions of the nonprewhitening matched filter," Med. Phys., vol. 25, pp. 1621-1624, 1998.
62. A. N. Skodras, C. A. Christopoulos, and T. Ebrahimi, "The JPEG 2000 still image compression standard," IEEE Signal Processing Mag., pp. 36-58, Sept. 2001.
63. M. P. Eckstein, B. Pham, and C. K. Abbey, "Effect of image compression for model and human observers in signal-known-statistically tasks," in Proc. SPIE: Medical Imaging: Image Perception, Observer Performance and Technology Assessment, vol. 4686, D. P. Chakraborty and E. A. Krupinski, Eds., 2002, pp. 13-24.
64. M. P. Eckstein, Y. Zhang, and B. Pham, "Optimization of model observer performance for signal known exactly but variable tasks leads to optimized performance in signal known statistically tasks," in Proc. SPIE: Medical Imaging: Image Perception, Observer Performance and Technology Assessment, vol. 5034, D. P. Chakraborty and E. A. Krupinski, Eds., 2003, pp. 123-134.