Prioritization of compressed data by tissue type using JPEG2000

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

doi:10.1117/12.594914

15 April 2005 Prioritization of compressed data by tissue type using JPEG2000

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

Proceedings Volume 5748, Medical Imaging 2005: PACS and Imaging Informatics; (2005) https://doi.org/10.1117/12.594914
Event: Medical Imaging, 2005, San Diego, California, United States

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.

Citation Download Citation

Karthik Krishnan, Michael W. Marcellin, Ali Bilgin, and Mariappan Nadar "Prioritization of compressed data by tissue type using JPEG2000", Proc. SPIE 5748, Medical Imaging 2005: PACS and Imaging Informatics, (15 April 2005); https://doi.org/10.1117/12.594914

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