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Efficient transmission of compressed data for remote volume visualization.

Karthik Krishnan1, Michael W Marcellin, Ali Bilgin

  • 1Signal Processing and Coding Laboratory, Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA. karthik.krishnan@kitware.com

IEEE Transactions on Medical Imaging
|September 14, 2006
PubMed
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This study introduces a JPEG2000 and JPIP system for interactive remote medical volume visualization. It enables progressive refinement and prioritized data retrieval for enhanced viewing on low-bandwidth connections.

Area of Science:

  • Medical imaging
  • Computer science
  • Telemedicine

Background:

  • Telemedicine requires efficient remote visualization of medical volumes.
  • Scalable compression and client-server models are crucial for interactivity.

Purpose of the Study:

  • To develop a system for interactive remote visualization and browsing of medical volumes.
  • To enhance the viewing experience for clients with low-bandwidth constraints.

Main Methods:

  • Utilizing JPEG2000 and JPEG2000 Interactive Protocol (JPIP) for multi-resolution, progressive data transmission.
  • Implementing server-side spatial locality exploitation and client-driven prioritization for data retrieval.
  • Analyzing compression parameter effects on compression ratio, decoding times, and interactivity.

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Main Results:

  • A system enabling progressive refinement of medical volumes from lossy to lossless within a region of interest.
  • On-the-fly reordering of compressed data for prioritized packet delivery based on client requests (e.g., tissue type).
  • Optimized JPEG2000 suggestions for remote volume visualization and browsing applications.

Conclusions:

  • The developed system facilitates efficient client-server applications for remote medical volume browsing.
  • It provides an enhanced viewing experience, even for users with limited bandwidth.
  • The system supports interactive exploration of medical data remotely.