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Compression of Medical Images for Teleradiology

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Teleradiology

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Abstract

Compression is necessary for storage and transmission of the large number of radiologic images in hospitals. Many lossless and lossy compression algorithms are available. Good lossy compression has statistically no observable difference from lossless compression. A study shows that lossy compression may be beneficial for diagnosis. Modeling provides better visualization and good lossy compression.

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Author information

Authors and Affiliations

  1. Centre for Image Processing and Telemedicine, Multimedia University, 63100, Cyberjaya, Malaysia

    Rajasvaran Logeswaran

Authors
  1. Rajasvaran Logeswaran
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Editor information

Editors and Affiliations

  1. Department of Health Information Management School of Health & Rehabilitation Sciences, University of Pittsburgh, 6051 Forbes Tower, Pittsburgh, PA, 15260

    Sajeesh Kumar Ph.D.

  2. Department of Radiology, University of Arizona, 1609 N. Warren Bldg 211, Tucson, AZ, 85724, USA

    Elizabeth A. Krupinski Ph.D.

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© 2008 Springer-Verlag Berlin Heidelberg

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Logeswaran, R. (2008). Compression of Medical Images for Teleradiology. In: Kumar, S., Krupinski, E.A. (eds) Teleradiology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78871-3_3

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  • DOI: https://doi.org/10.1007/978-3-540-78871-3_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78870-6

  • Online ISBN: 978-3-540-78871-3

  • eBook Packages: MedicineMedicine (R0)

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