Lossless Compression of Volumetric Medical Data

نویسندگان

  • Samy Ait-Aoudia
  • Fatma-Zohra Benhamida
  • Mohamed-Azzeddine Yousfi
چکیده

Medical imaging applications produce large sets of similar images. Thus a compression technique is useful to reduce space storage. Lossless compression methods are necessary in such critical applications. Volumetric medical data presents strong similarity between successive frames. In this paper we investigate predictive techniques for lossless compression of video sequences applied to volumetric data. We also make a comparative study with other existing compression techniques dedicated to volumetric data.

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تاریخ انتشار 2006