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01-06-2012 | ORIGINAL PAPER

Progressive Visualization of Losslessly Compressed DICOM Files Over the Internet

Authors: Denis Obrul, Yongkui Liu, Borut Žalik

Published in: Journal of Medical Systems | Issue 3/2012

Abstract

Presented in this paper is a method for progressive transfer and visualization of losslessly compressed DICOM files. The files from the same study are considered as a volumetric object, which is progressively compressed using a quadtree-based method. The textual information of the DICOM file is compressed using a predicting scheme. Decompression and visualization are implemented with Java applet technology. Users can display and interact with the object even during the data transfer. Tests have shown that an object can be recognized up to 70% faster than with the classical approaches.

Ewer, U., Zscherpel, U. and Bavendiek, K., Replacement of film radiography by digital techniques and enhancement of image quality, http://www.ndt.net/search/docs.php3?id=4516 (Last accessed Oct. 2010).

DICOM Standards Committee, Digital Imaging and Communications in Medicine, 2006.

Depuydt, T. and Huyskens, D., DICOM demystified. Radiotherapy and Oncology. Vol. 68, Suppl 1:S47, 2003.

Cao., F., Huang, H.K. and Zhou, X-Q., 2003 Medical Image Security in a HIPAA Mandated PACS Environment. Computerized Medical Imaging and Graphics. 27(2–3), pp. 185–96.CrossRef

Shyam, S.R., Eswaran, C. and Sriraam, N., Medical image compression using 3-D Hartley transform. Computers in Biology and Medicine. 36(9), pp. 958–73, 2006.CrossRef

Lalitha, Y. S. and Latte, M.V., Lossless and Lossy Compression of DICOM images With Scalable ROI. International Journal of Computer Science and Network Security. Vol.10, No.7, pp. 276-81, 2010.

Tuinenburg, C. J., Koning, G., Hekking, E., Zwinderman, A. H., Becker, T., Simon, R. and Reiber, J. H. C., American College of Cardiology/ European Society of Cardiology international study of angiographic data compression phase II: The effects of varying JPEG data compression levels on the quantitative assessment of the degree of stenosis in digital coronary angiography. Journal of the American College of Cardiology. Vol. 35, Issue 5, pp. 1380-7, 2000.CrossRef

Wenger, N.A., Tewson, D.H.T.K. and McDonald, F., Direct digital lateral cephalometry: The effects of JPEG compression on image quality. Medical Engineering & Physics. Vol. 28, Issue 6, pp. 560–7, 2006.CrossRef

Klajnšek, G. and Žalik, B., Progressive lossless compression of volumetric data using small memory load. Computerized Medical Imaging and Graphics. 29(4), pp. 305–12, 2005.CrossRef

10.

PKWARE, PKZIP homepage, available online at: http://www.pkware.com/software/pkzip (last access december 2010).

11.

RARLAB, WinRAR homepage, available online at: http://www.rarlab.com/ (last access december 2010).

12.

Zhang, J., Stahl, J.N., Huang, H.K., Zhou, X., Lou, S.L. and Song, K.S., Real-time teleconsultation with high-resolution and large-volume medical images for collaborative healthcare, Information Technology in Biomedicine, IEEE Transactions on. 4(2), pp. 178–85, 2000.CrossRef

13.

Dong, F., Clapworthy, J. G. and Krokos, M., Volume rendering of fine details within medical data. Proceedings of the conference on Visualization ‘01. pp. 387–94, 2001.

14.

Zemek, M., Skála, J., Kolingerová, I., Medek, P. and Sochor, J., Fast Method for Computation of Channels in Dynamic Proteins, 13th International Fall Workshop Vision, Modeling and Visualization 2008 (VMV 2008). pp. 333–42, 2008.

15.

Clapworthy, G. J., Krokos, M., Mayoral, R., Liang R. H. and Podgorelec, D., Visualisation within a Multisensorial Surgical Planner. Proc. IEEE International Conference on Computer Graphics, Imaging and Visualisation, CGIV05. pp. 215–20, 2005.

16.

Drebin, R. A. and Carpenter, L., Hanrahan P. Volume rendering. Proceedings of SIGGRAPH ‘88. 1988.

17.

Levoy, M., Efficient ray tracing of volume data. ACM Transactions on Graphics. 9(3), pp. 245–61, 1990.MATHCrossRef

18.

Basu, A., Kamal, A.D., Illahi, W., Khan, M., Stavrou, P. and Ryder R.E.J., Is digital image compression acceptable within diabetic retinopathy screening? Diabetic Medicine. 20(9), pp. 766–71, 2003.CrossRef

19.

Muraki, S., Volume data and wavelet transforms. IEEE Computer Graphics and applications. 13(4), pp. 50–6, 1993.CrossRef

20.

Ma, K. L., Shen, H.W., Compression and accelerated rendering of time-varying volume data. Proceedings of the Workshop on Computer Graphics and Virtual Reality. 2001.

21.

Guthe, S., Straßer, W., Real time decompression and visualization of animated volume data. Proceedings of the conference on Visualization ‘01. 2001.

22.

Graps, A., An Introduction to Wavelets. IEEE Computational Science & Engineering. 2(2), pp. 50–61, 1995.CrossRef

23.

Liao, L., Chen, M., Rodrigues, J. J. P. C., Lai, X. and Vuong, S., A Novel Web-enabled Healthcare Solution on Health Vault System, Journal of Medical Systems. Published online, http://dx.doi.org/10.1007/s10916-010-9572-2, 2010.

24.

Salomon, D., Data Compression: The Complete Reference. 1998.

25.

Steinbach, E., Girod, B., Eisert, P. and Betz, A., 3-D reconstruction of real-world objects using extended voxels. Proceedings of the 2000 International Conference on Image Processing. pp. 10–13, 2000.

26.

Levoy, M., A Hybrid Ray Tracer for Rendering Polygon and Volume Data. IEEE Computer Graphics and Applications. 10(2), pp. 33–40, 1990.CrossRef

27.

Lacroute, P., Levoy, M., Fast volume rendering using a shear-warp factorization of the viewing transformation. Proceedings of the 21st annual conference on Computer graphics and interactive techniques. 1994.

Title: Progressive Visualization of Losslessly Compressed DICOM Files Over the Internet
Authors: Denis Obrul
Yongkui Liu
Borut Žalik
Publication date: 01-06-2012
Publisher: Springer US
Published in: Journal of Medical Systems / Issue 3/2012
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI: https://doi.org/10.1007/s10916-011-9652-y

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Progressive Visualization of Losslessly Compressed DICOM Files Over the Internet

Abstract

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