Skip to main content
Log in

Study on the technology of medical image reading based on JPEG2000

  • Published:
Automatic Control and Computer Sciences Aims and scope Submit manuscript

Abstract

Along with the development of health informatization, many hospitals have set up PACS systems for centralized storage of patients’ medical examination images. Due to the large amount of image data, traditional methods such as C-MOVE, have slow upload and download speeds. And they also have security problems. Based on the research and development of medical imaging informatics and PACS, a JPEG2000-based method is described according to the PACS work flow and DICOM standard. This method makes the image storage, transmission and display operating in parallel, providing a good solution to timeliness and security problems of image reading and viewing.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Huang, H.K., Enterprise PACS and image distribution, Comput. Med. Imaging Graphics, 2003, vol. 27, nos. 2–3, pp. 241–253.

    Article  Google Scholar 

  2. Veeramani, S., Masood, M.N., and Sidhu, A.S., A PACS alternative for transmitting DICOM images in a high latency environment, IEEE Conference on Biomedical Engineering and Sciences (IECBES), 2014.

    Google Scholar 

  3. Yuan Jing and Wang Xin-guo, Present status and development of imaging data storage in PACS, China Med. Equip., 2008, vol. 23, no. 2, pp. 41–44.

    Google Scholar 

  4. Rosslyn: National Electrical Manufacturers Association; National Electrical Manufacturers Association. Digital Imaging and Communication in Medicine (DICOM). Part 1: Introduction and Overview, 2006.

  5. Digital Imaging and Communications in Medicine (DICOM), NEMA Publications, The DICOM Standard, Ver. 2016b. http://dicom.nema.org/standard.html.

  6. Pianykh, O.S., Digital Imaging and Communications in Medicine (DICOM): A Practical Introduction and Survival Guide, Springer, 2012.

  7. Mildenberger, P., Eichelberg, M., and Martin, E., Introduction to the DICOM standard, Eur. Radiol., 2002, vol. 12, no. 12, pp. 920–927.

    Article  Google Scholar 

  8. Keen, R., US Patent US20080052313, Service bus-based workflow engine for distributed medical imaging and information management systems, 2008.

    Google Scholar 

  9. Foots, D., Muka, E., Slone, R., Erickson, B., Flynn, M., Clunie, D., et al., JPEG2000 compression of medical imagery, Proc. SPIE Digit Libr., 2000, vol. 3980, pp. 85–96.

    Article  Google Scholar 

  10. Taubman, D., High performance sealable image compresslon with EBCOTE, IEEE Trans. Image Process., 2000, vol. 19, no. 7, pp. 1158–1170.

    Article  MathSciNet  Google Scholar 

  11. Kim, K.J., Kim, B., Mantiuk, R., Richter, T., Lee, H., Kang, H.S., Seo, J., and Lee, K.H., A comparison of three image fidelity metrics of different computational principles for JPEG2000 compressed abdomen CTimages, IEEE Trans. Med. Imaging, 2010, vol. 8, pp. 1496–1503.

    Google Scholar 

  12. Taubman, D., Multithreaded processing paradigms for JPEG2000, MMSP 2012, 2012, pp. 164–169.

    Google Scholar 

  13. Kim, K.J., Kim, B., Mantiuk, R., Richter, T., Lee, H., Kang, H.S., Seo, J., and Lee, K.H., A comparison of three image fidelity metrics of different computational principles for JPEG2000 compressed abdomen CT images, IEEE Trans. Med. Imaging, 2010, vol., pp. 1496–1503.

    Google Scholar 

  14. Dong Keun Kim, Eung Y. Kim, Kun H. Yang, et al., A mobile tele-radiology imaging system with JPEG2000 for an emergency care, J. Digital Imaging, 2011, vol. 24, no. 4, pp. 709–718.

    Article  Google Scholar 

  15. Suapang, P., Dejhan, K., and Yimmun, S., A web-based DICOM-format image archive, medical image compression and DICOM viewer system for teleradiology application, Proceedings of IEEE SICE Annual Conference, 2010, pp. 3005–3011.

    Google Scholar 

  16. Skodras, A.N., The JPEG2000 image compression standard in mobile health, in MHealth: Emerging Mobile Health Systems, SpringerLink, 2006, pp. 313–327.

    Google Scholar 

  17. Lakshman, T.V. and Madhow, U., The performance of TCP/IP for networks with high bandwidth-delay product and random loss, IEEE/ACM Trans. Networking, 1997, vol. 5, no. 3, pp. 336–350.

    Article  Google Scholar 

  18. Hoshino, T., Kuhara, S., and Makita, J., US Patent 6484048, Real-time interactive three-dimensional locating and displaying system, 2002.

  19. Guendel, L., US Patent 7796131, Method of virtual endoscopy for medical 3D image display and processing, computed tomograph, workstation and computer program product, 2010.

  20. Oda, S., Utsunomiya, D., Hirai, T., et al., Comparison of dynamic contrast-enhanced 3TMRand 64-row multidetector CT angiography for the localization of spinal dural arteriovenous fistulas, Am. J. Neuroradiol., 2014, vol. 35, no. 2, pp. 407–412.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bing-jin Liang.

Additional information

The article is published in the original.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liang, Bj., Zhang, Yy. & Lin, Yj. Study on the technology of medical image reading based on JPEG2000. Aut. Control Comp. Sci. 50, 278–284 (2016). https://doi.org/10.3103/S0146411616040052

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S0146411616040052

Keywords

Navigation