Wavelet-based medical image compression

Future Generation Computer Systems

Volumn 15, Issue 2, 1999, Pages 223-243

  Kofidis, Eleftherios ^a,b   Kolokotronis, Nicholas ^a   Vassilarakou, Aliki ^a   Theodoridis, Sergios ^a   Cavouras, Dionisis ^a  

^a UNIVERSITY OF ATHENS   (Greece)

^b INSTITUT NATIONAL DES TÉLÉCOMMUNICATIONS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; HEALTH CARE; IMAGE CODING; IMAGE COMMUNICATION SYSTEMS; IMAGE COMPRESSION; IMAGE QUALITY; STANDARDS; WAVELET TRANSFORMS;

EMBEDDED ZEROTREE WAVELET (EZW) ALGORITHMS; ENTROPY CODING; JOINT PICTURE EXPERTS GROUP (JPEG) STANDARDS;

MEDICAL IMAGING;

EID: 0033545502     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-739X(98)00066-1     Document Type: Article

References (72)

1. Aberle D.R.et al. The effect of irreversible image compression on diagnostic accuracy in thoracic imaging. Invest. Radiology. 28(5):1993;398-403.
2. American College of Radiology (ACR)/National Electrical Manufacturers Association (NEMA) Standards Publication for Data Compression Standards, NEMA Publication PS-2, Washington, DC, 1989.
3. Antonini M.et al. Image coding using wavelet transform. IEEE Trans. Image Process. 1(2):1992;205-220.
4. A. Baskurt, I. Magnin, Adaptive coding method of X-ray mammograms, in: Y. Kim (Ed.), Medical Imaging V: Image Capture, Formatting, and Display, Proc. SPIE 1444 (1991) 240-249.
5. V. Bhaskaran, K. Konstantinides, Image and Video Compression Standards: Algorithms and Architectures, Kluwer, Dordrecht, 1995.
6. A.R. Calderbank et al., Wavelet transforms that map integers to integers, Technical Report, Department of Mathematics, Princeton University, 1996.
7. J. Chen, M.J. Flynn, B. Gross, D. Spizarny, Observer detection of image degradation caused by irreversible data compression processes, in: Y. Kim (Ed.), Medical Imaging V: Image Capture, Formatting, and Display, Proc. SPIE 1444 (1991) 256-264.
8. Chen K., Ramabadran T.V. Near-lossless compression of medical images through entropy-coded DPCM. IEEE Trans. Med. Imag. 13(3):1994;538-548.
9. P.S. Cho, K.K. Chan, B.K.T. Ho, Data storage and compression, in: Ref. [22], pp. 71-81.
10. R. Claypoole et al., Nonlinear wavelet transforms for image coding, Technical Report, Bell Laboratories, Lucent Technologies, 1997.
11. Cosman P.C.et al. Thoracic CT images: Effect of lossy image compression on diagnostic accuracy. Radiology. 190:1994;517-524.
12. Cosman P.C., Gray R.M., Olshen R.A. Evaluating quality of compressed medical images: SNR, subjective rating, and diagnostic quality. Proc. IEEE. 82(6):1994;919-932.
13. Cox G.G.et al. The effects of lossy compression on the detection of subtle pulmonary nodules. Med. Phys. 23(1):1996;127-132.
14. I. Daubechies, W. Sweldens, Factoring wavelet transforms into lifting steps, Technical Report, Bell Laboratories, Lucent Technologies, 1996.
15. Davis G.M. A wavelet-based analysis of fractal image compression. IEEE Trans. Image Process. 7(2):1998;141-154.
16. Dewitte S., Cornelis J. Lossless integer wavelet transform. IEEE Signal Process. Lett. 4(6):1997;158-160.
17. Digital Imaging and Communication in Medicine (DICOM) version 3, American College of Radiology (ACR)/National Electrical Manufacturers Association (NEMA) Standards Draft.
18. J.H. Dripps, K. Boddy, G. Venters, TELEMEDICINE: Requirements, standards and applicability to remote case scenarios in Europe, in: J. Noothoven van Goor, J.P. Christensen (Eds.), Advances in Medical Informatics, IOS Press, 1992, pp. 340-348.
19. Equitz W.H.R., Cover T.M. Successive refinement of information. IEEE Trans. Inform. Theory. 37(2):1991;269-275.
20. R.A. Greenes, J.F. Brinkley, Radiology systems, in: E.H. Shortliffe, L.E. Perreault (Eds.), Medical Informatics - Computer Applications in Health Care, Addison-Wesley, Reading, MA, 1990.
21. Howard P.G., Vitter J.S. Arithmetic coding for data compression. Proc. IEEE. 82(6):1994;857-865.
22. H.K. Huang et al., Picture Archiving and Communication Systems (PACS), NATO ASI Series, vol. F74, PACS in Medicine, Springer, Berlin, 1991.
23. Huffman D.A. A method for the construction of minimum redundancy codes. Proc. IRE. 40:1952;1098-1101.
24. A.K. Jain, P.M. Farrelle, V.R. Algazi, Image data compression, in: M.P. Ekstrom (Ed.), Digital Image Processing Techniques, Academic Press, New York, 1984, pp. 171-226.
25. Jayant N. Signal compression: Technology targets and research directions. IEEE J. Selected Areas in Commun. 10(5):1992;796-818.
26. N.J. Jayant, P. Noll, Digital Coding of Waveforms, Prentice-Hall, Englewood Cliffs, NJ, 1984.
27. R.G. Jost et al., High resolution teleradiology applications within the hospital, in: R.G. Jost (Ed.), Medical Imaging V: PACS Design and Evaluation, Proc. SPIE 1446, (1991) 2-9.
28. Kuduvalli G.R., Rangayyan R.M. Performance analysis of reversible image compression techniques for high-resolution digital teleradiology. IEEE Trans. Med. Imag. 11(3):1992;430-445.
29. Lee H.et al. A predictive classified vector quantizer and its subjective quality evaluation for X-ray CT images. IEEE Trans. Med. Imag. 14(2):1995;397-406.
30. Lewis A.S., Knowles G. Image compression using the 2-D wavelet transform. IEEE Trans. Image Process. 1(2):1992;244-250.
31. J.S. Lim, Two-Dimensional Signal and Image Processing, Prentice-Hall, Englewood Cliffs, NJ, 1990.
32. S.-C.B. Lo et al., Full-frame entropy coding for radiological image compression, in: Y. Kim (Ed.), Medical Imaging V: Image Capture, Formatting, and Display, Proc. SPIE 1444 (1991) 265-271.
33. MacMahon H.et al. Data compression: Effect on diagnostic accuracy in digital chest radiography. Radiology. 178:1991;175-179.
34. A. Manduca, Compressing images with wavelet/subband coding, IEEE Eng. Med. Biol., Sept./Oct. 1995, pp. 639-646.
35. M. Mansuripur, Introduction to Information Theory, Prentice-Hall, Englewood Cliffs, NJ, 1987.
36. McNeill K.M.et al. Evaluation of the ACR-NEMA standard for communications in digital radiology. IEEE Trans. Med. Imag. 9(3):1990;281-289.
37. A. Macovski, Medical Imaging Systems, Prentice-Hall, Englewood Cliffs, NJ, 1983.
38. A. Munteanu et al., Performance evaluation of the wavelet based techniques used in the lossless and lossy compression of medical and preprint images, IRIS, TR-0046, 1997.
39. M. Nelson, J.-L. Gailly, The Data Compression Book, M&T Books, 1996.
40. R. Passariello et al., PACS-IMACS: Operation evaluation and basic requirements for prospective evolution of PACS technology, in: J. Noothoven van Goor, J. P. Christensen (Eds.), Advances in Medical Informatics, IOS Press, 1992, pp. 295-299.
41. W.B. Pennebaker et al., Papers on arithmetic coding, IBM J. Res. Develop. 32 (6) (1988).
42. Ramaswamy A., Mikhael W.B. A mixed transform approach for efficient compression of medical images. IEEE Trans. Med. Imag. 15(3):1996;343-352.
43. K.R. Rao, J.J. Hwang, Techniques and Standards for Image, Video and Audio Coding, Prentice-Hall, Englewood Cliffs, NJ, 1996.
44. K.R. Rao, P. Yip, Discrete Cosine Transform-Algorithms, Advantages, Applications, Academic Press, New York, 1990.
45. O. Rioul, M. Vetterli, Wavelets and signal processing, IEEE Signal Process. Mag., Oct. 1991, pp. 14-38.
46. Riskin E.A.et al. Variable rate vector quantization for medical image compression. IEEE Trans. Med. Imag. 9(3):1990;290-298.
47. O. Rompelman, Medical image compression: Possible applications of subband coding, in: Ref. [70], pp. 319-352.
48. Roos P.et al. Reversible intraframe compression of medical images. IEEE Trans. Med. Imag. 7(4):1988;328-336.
49. P. Roos, M.A. Viergever, Reversible image data compression based on HINT decorrelation and arithmetic coding, in: Y. Kim (Ed.), Medical Imaging V: Image Capture, Formatting, and Display, Proc. SPIE 1444 (1991) 283-290.
50. Said A., Pearlman W.A. A new, fast, and efficient image codec based on set partitioning in hierarchical trees. IEEE Trans. Circuits and Systems for Video Techn. 6(3):1996;243-250.
51. P. Saipetch et al., Applying wavelet transforms with arithmetic coding to radiological image compression, IEEE Eng. Med. Biol., Sept./Oct. 1995, pp. 587-593.
52. J.M. Shapiro, An embedded wavelet hierarchical image coder, Proc. ICASSP'92, pp. IV-657-IV-660.
53. Shapiro J.M. Embedded image coding using zerotrees of wavelet coefficients. IEEE Trans. Signal Process. 41(12):1993;3445-3462.
54. J.M. Shapiro, Smart compression using the embedded zerotree wavelet (EZW) algorithm, Proceedings of the 27th Annual Asilomar Conference on Signals, Systems and Computers, 1993, pp. 486-490.
55. Shen L., Rangayyan R.M. A segmentation-based lossless image coding method for high-resolution image compression. IEEE Trans. Med. Imag. 16(3):1997;301-307.
56. A. Signoroni, R. Leonardi, Progressive medical image compression using a diagnostic quality measure on regions-of-interest, Proc. EUSIPCO'98.
57. Smathers R.L., Brody W.R. Digital radiography: current and future trends. British J. Radiology. 58(688):1985;285-307.
58. G. Strang, T. Nguyen, Wavelets and Filter Banks, Wellesley-Cambridge Press, 1996.
59. W. Sweldens, The lifting scheme: A new philosophy in biorthogonal wavelet construction, in: A.F. Laine, M. Unser (Eds.), Wavelet Applications in Signal and Image Processing III, Proc. SPIE 2569 (1995) 68-79.
60. G.R. Thoma, L.R. Long, Compressing and transmitting visible human images, IEEE MultiMedia, April-June 1997, pp. 36-45.
61. P.P. Vaidyanathan, Multirate Systems and Filter Banks, Prentice-Hall, Englewood Cliffs, NJ, 1993.
62. Vandendorpe L. Optimized quantization for image subband coding. Signal Process. Image Commun. 4:1991;65-79.
63. Vetterli M. Multi-dimensional subband coding: Some theory and algorithms. Signal Process. 6:1984;97-112.
64. M. Vetterli, J. Kovačevic̀, Wavelets and Subband Coding, Prentice-Hall, Englewood Cliffs, NJ, 1995.
65. Villasenor J.D., Belzer B., Liao J. Wavelet filter evaluation for image compression. IEEE Trans. Image Process. 4(8):1995;1053-1060.
66. Wallace G.K. The JPEG still picture compression standard. IEEE Trans. Consumer Electr. 38(1):1992;18-34.
67. P.H. Westerink, J. Biemond, D.E. Boekee, Progressive transmission of images using subband coding, Proc. ICASSP'89, pp. 1811-1814.
68. Witten I.H., Neal R.M., Cleary J.G. Arithmetic coding for data compression. Commun. ACM, 30(6):1987;520-540.
69. Wong S.et al. Radiological image compression - A review. Proc. IEEE. 83(2):1995;194-219.
70. J.W. Woods (Ed.), Subband Image Coding, Kluwer, Dodrecht, 1991.
71. Z. Xiong, N.P. Galatsanos, M.T. Orchard, Marginal analysis prioritization for image compression based on a hierarchical wavelet decomposition, Proc. ICASSP'93, pp. V-546-V-549.
72. Z. Yang et al., Effect of wavelet bases on compressing digital mammograms, IEEE Eng. Med. Biol., Sept./Oct. 1995, pp. 570-577.