Compression of volumetric medical data based on cube splitting

Peter Schelkens; Joeri Barbarien; Jan P.H. Cornelis

doi:10.1117/12.411534

28 December 2000 Compression of volumetric medical data based on cube splitting

Peter Schelkens, Joeri Barbarien, Jan P.H. Cornelis

Proceedings Volume 4115, Applications of Digital Image Processing XXIII; (2000) https://doi.org/10.1117/12.411534
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

The increasing use of three-dimensional imaging modalities triggers the need for efficient techniques to transport and store the related volumetric data. Desired properties like quality and resolution scalability, region-of-interest coding, lossy-to-lossless coding and excellent rate-distortion characteristics for as well low as high bit-rates are inherently supported by wavelet-based compression tools. In this paper a new 3D wavelet-based compression engine is proposed and compared against a classical 3D JPEG-based coder and a state-of-the-art 3D SPIHT coder for different medical imaging modalities. Furthermore, we evaluate the performance of a selected set of lossless integer lifting kernels. We demonstrate that the performance of the proposed coder is superior for lossless coding, and competitive with 3D SPIHT at lower bit-rates.

Citation Download Citation

Peter Schelkens, Joeri Barbarien, and Jan P.H. Cornelis "Compression of volumetric medical data based on cube splitting", Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); https://doi.org/10.1117/12.411534

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