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Journal of Digital Imaging logoLink to Journal of Digital Imaging
. 1999 Nov;12(4):173–184. doi: 10.1007/BF03168853

Interslice coding for medical three-dimensional images using an adaptive mode selection technique in wavelet transform domain

Hyun Duk Cho 1,2, Jong Hyo Kim 1,2, Jong Beom Ra 1,2,
PMCID: PMC3452421  PMID: 10587912

Abstract

In this article the authors propose a novel interslice coding algorithm especially appropriate for medical 3-dimensional (3D) images. The proposed algorithm is based on a video coding algorithm using motion estimation/compensation and transform coding. In the algorithm, warping is adopted for motion compensation. Then, by using adaptive mode selection, an MC residual image and original image are mixed up in the wavelet transform domain for improvement in coding performance. The mixed image is then compressed by the zerotree coding method. It is proven that the adaptive mode selection technique in the wavelet transform domain is very useful for medical 3D image coding. Simulation results show that the proposed scheme provides good performance, regardless of interslice distance, and is prospective for medical 3D image compression.

Key words: interslice coding, motion compensation, wavelet transform, zerotree coding, adaptive mode selection technique

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References

  • 1.Wang J, Huang HK. Three-dimensional medical image compression using a wavelet transform with parallel computing. Proc SPIE Med Imaging. 1995;2431:162–172. [Google Scholar]
  • 2.Xiong Z, Wu X, Yun DY, et al. Progressive coding of medical volumetric data using three-dimensional integer wavelet packet transform. Proc SPIE Symp Visual Comm, Image Processing. 1999;3653:327–335. [Google Scholar]
  • 3.Lee H, Kim Y, Rowberg AH, et al. Statistical distributions of DCT coefficients and their application to an interframe compression algorithm for 3-D medical images. IEEE Trans Med Imaging. 1993;12:478–485. doi: 10.1109/42.241875. [DOI] [PubMed] [Google Scholar]
  • 4.Orchard MT, Nosratinia A, Rajagopalan R. On interframe coding models for volumetric medical data. Proc IEEE Int Conf Image Processing. 1995;2:17–20. doi: 10.1109/ICIP.1995.537404. [DOI] [Google Scholar]
  • 5.Nosratinia A, Mohsenian N, Orchard MT, et al. Interframe coding of magnetic resonance images. IEEE Trans Med Imaging. 1996;15:639–647. doi: 10.1109/42.538941. [DOI] [PubMed] [Google Scholar]
  • 6.Sullivan GJ, Baker RL. Motion compensation for video compression using control grid interpolation. Proc IEEE ICASSP'91. 1991;4:2713–2716. [Google Scholar]
  • 7.Nakaya Y, Harashima H. Motion compensation based on spatial transformations. IEEE Trans Circuit Syst Video Technol. 1994;4:339–356. doi: 10.1109/76.305878. [DOI] [Google Scholar]
  • 8.Yamaguchi H. Adaptive DCT coding of video signals. IEEE Trans Comm. 1993;41:1534–1543. doi: 10.1109/26.237888. [DOI] [Google Scholar]
  • 9.Ito H, Farvardin N. A wavelet video coder using entropyconstrained trellis coded quantization. Proc IEEE Int Conf Image Processing. 1995;1:598–601. doi: 10.1109/ICIP.1995.531437. [DOI] [Google Scholar]
  • 10.Said A, Pearlman WA. A new, fast, and efficient image codec based on set partitioning in hierarchical trees. IEEE Trans Circuit Syst Video Technol. 1996;6:243–250. doi: 10.1109/76.499834. [DOI] [Google Scholar]
  • 11.Shapiro JM. Embedded image coding using zerotree of wavelet coefficients. IEEE Trans Signal Processing. 1993;41:3445–3462. doi: 10.1109/78.258085. [DOI] [Google Scholar]
  • 12.Antonini M, Barlaud M, Mathieu P, et al. Image coding using wavelet transform. IEEE Trans Image Processing. 1992;1:205–220. doi: 10.1109/83.136597. [DOI] [PubMed] [Google Scholar]

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