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Related Experiment Videos

Fast JPEG 2000 decoder and its use in medical imaging.

Anup Agarwal1, Alan H Rowberg, Yongmin Kim

  • 1Image Computing Systems Laboratory, Department of Bioengineering, University of Washington, Seattle, WA 98195-2500, USA.

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society
|October 2, 2003
PubMed
Summary

A new fast JPEG 2000 decoder enables efficient image compression for Picture Archiving and Communications Systems (PACS). This advancement allows for rapid image display at workstations, improving radiologist workflow and reducing costs.

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Area of Science:

  • Medical Imaging
  • Computer Science
  • Digital Signal Processing

Background:

  • Picture Archiving and Communications Systems (PACS) are essential in modern healthcare for image management.
  • Image compression in PACS can reduce transmission and storage costs, provided image quality is maintained and processing is efficient.
  • JPEG 2000 offers improved image quality over JPEG but requires higher computational resources for decompression.

Purpose of the Study:

  • To present a fast JPEG 2000 decoder suitable for PACS workstations.
  • To evaluate the feasibility of performing JPEG 2000 decompression at the workstation level.
  • To assess the impact of JPEG 2000 decompression on image display response times and communication throughput.

Main Methods:

  • Development of a fast JPEG 2000 decoder implemented on a low-cost programmable processor.

Related Experiment Videos

  • Benchmarking the decoder's performance on losslessly compressed 2048 x 2048 CR images.
  • Simulation of image retrieval and display scenarios comparing JPEG 2000 decompression at the workstation versus transmission of uncompressed images.

    • Main Results:

    • The developed JPEG 2000 decoder can process a 2048 x 2048 CR image losslessly in 1.51 seconds.
    • Achieving a 2-second response time for image display is feasible with JPEG 2000 decompression at the workstation.
    • Effective transmission throughput requirements are lower with JPEG 2000 decompression (4.48 Mb/s for CT, 20.2 Mb/s for CR) compared to uncompressed images.

    Conclusions:

    • JPEG 2000 decompression at the PACS workstation is a viable strategy for enhancing system performance.
    • This approach allows for acceptable response times even with slower communication channels.
    • Implementing fast JPEG 2000 decoders can significantly improve the efficiency and cost-effectiveness of PACS.