Prioritization of compressed data by tissue type using JPEG2000

Karthik Krishnan, Michael W. Marcellin, Ali Bilgin, Mariappan Nadar

Research output: Contribution to journalConference article

6 Scopus citations

Abstract

One of the goals of telemedicine is to enable remote visualization and browsing of medical volumes. Volume data is usually massive and is compressed so as to effectively utilize available network bandwidth. In our scenario, these compressed datasets are stored on a central data server and are transferred progressively to one or more clients over a network. In this paper, we study schemes that enable progressive delivery for visualization of medical volume data using JPEG2000. We then present a scheme for progressive encoding based on scene content, that enables a progression based on tissues or regions of interest in 3D medical imagery. The resulting compressed file is organized such that the tissues of interest appear in earlier segments of the bitstream. Hence a compliant decoder that chooses to stop transmission of data at a given instant would be able to render the tissue of interest with a better visual quality.

Original languageEnglish (US)
Article number5748-23
Pages (from-to)181-189
Number of pages9
JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume5748
DOIs
StatePublished - Aug 25 2005
EventMedical Imaging 2005 - PACS and Imaging Informatics - San Diego, CA, United States
Duration: Feb 15 2005Feb 17 2005

Keywords

  • DWT
  • Embedded coding
  • Interactive visualization
  • JPEG2000
  • Medical volume compression
  • Scalable compression
  • Telemedicine
  • Volume of interest

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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