Please use this identifier to cite or link to this item: https://doi.org/10.1109/TITB.2004.838376
Title: Motion compensated lossy-to-lossless compression of 4-D medical images using integer wavelet transforms
Authors: Kassim, A.A. 
Yan, P.
Lee, W.S. 
Sengupta, K. 
Keywords: Cube matching algorithm
Four-dimensional (4-D) medical image
Integer wavelet transform (IWT)
Lossy-to-lossless compression
Motion compensation
Three-dimensional (3-D) set-partitioning in hierarchical trees (SPIHT)
Issue Date: Mar-2005
Source: Kassim, A.A., Yan, P., Lee, W.S., Sengupta, K. (2005-03). Motion compensated lossy-to-lossless compression of 4-D medical images using integer wavelet transforms. IEEE Transactions on Information Technology in Biomedicine 9 (1) : 132-138. ScholarBank@NUS Repository. https://doi.org/10.1109/TITB.2004.838376
Abstract: This paper proposes a method for progressive lossy-to-lossless compression of four-dimensional (4-D) medical images (sequences of volumetric images over time) by using a combination of three-dimensional (3-D) integer wavelet transform (IWT) and 3-D motion compensation. A 3-D extension of the set-partitioning in hierarchical trees (SPIHT) algorithm is employed for coding the wavelet coefficients. To effectively exploit the redundancy between consecutive 3-D images, the concepts of key and residual frames from video coding is used. A fast 3-D cube matching algorithm is employed to do motion estimation. The key and the residual volumes are then coded using 3-D IWT and the modified 3-D SPIHT. The experimental results presented in this paper show that our proposed compression scheme achieves better lossy and lossless compression performance on 4-D medical images when compared with JPEG-2000 and volumetric compression based on 3-D SPIHT. © 2005 IEEE.
Source Title: IEEE Transactions on Information Technology in Biomedicine
URI: http://scholarbank.nus.edu.sg/handle/10635/56696
ISSN: 10897771
DOI: 10.1109/TITB.2004.838376
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