Coding of 3D medical images using 3D wavelet decompositions

  • Authors:

  • A. Baskurt;F. Peyrin;H. Benoit-Cattin;R. Goutte

  • Affiliations:

  • URA CNRS, LTSU, INSA, Villeurbanne, France;URA CNRS, LTSU, INSA, Villeurbanne, France;URA CNRS, LTSU, INSA, Villeurbanne, France;URA CNRS, LTSU, INSA, Villeurbanne, France

  • Venue:
  • ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: image and multidimensional signal processing - Volume V
  • Year:
  • 1993

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Abstract

With the developement of 3D medical imaging, image compression becomes mandatory for the storage and transmission of medical images. We investigate, the use of a 3D wavelet transform (WT) for the compression of 3D medical images. We apply a 3D separable WT using, for each direction, a pair of Conjugate Quadrature Filters (CQF) allowing perfect reconstruction. For each level of resolution, eight subimages are obtained, and a specific coding procedure using a 3D Discrete Cosine Transform (DCT) is applied. The first results obtained on a 3D MRI image are presented.