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Proceedings Paper

Prioritization of compressed data by tissue type using JPEG2000
Author(s): Karthik Krishnan; Michael W. Marcellin; Ali Bilgin; Mariappan Nadar
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Paper 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.

Paper Details

Date Published: 15 April 2005
PDF: 9 pages
Proc. SPIE 5748, Medical Imaging 2005: PACS and Imaging Informatics, (15 April 2005); doi: 10.1117/12.594914
Show Author Affiliations
Karthik Krishnan, The Univ. of Arizona (United States)
Michael W. Marcellin, The Univ. of Arizona (United States)
Ali Bilgin, The Univ. of Arizona (United States)
Mariappan Nadar, Siemens Corporate Research (United States)


Published in SPIE Proceedings Vol. 5748:
Medical Imaging 2005: PACS and Imaging Informatics
Osman M. Ratib; Steven C. Horii, Editor(s)

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