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Novel lossless fMRI image compression based on motion compensation and customized entropy coding
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Sanchez Silva, Victor, Nasiopoulos, P. and Abugharbieh, R. (2009) Novel lossless fMRI image compression based on motion compensation and customized entropy coding. IEEE Transactions on Information Technology in Biomedicine, 13 (4). pp. 645-655. doi:10.1109/TITB.2009.2021159 ISSN 1089-7771.
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Official URL: http://dx.doi.org/10.1109/TITB.2009.2021159
Abstract
We recently proposed a method for lossless compression of 4-D medical images based on the advanced video coding standard (H.264/AVC). In this paper, we present two major contributions that enhance our previous work for compression of functional MRI (fMRI) data: (1) a new multiframe motion compensation process that employs 4-D search, variable-size block matching, and bidirectional prediction; and (2) a new context-based adaptive binary arithmetic coder designed for lossless compression of the residual and motion vector data. We validate our method on real fMRI sequences of various resolutions and compare the performance to two state-of-the-art methods: 4D-JPEG2000 and H.264/AVC. Quantitative results demonstrate that our proposed technique significantly outperforms current state of the art with an average compression ratio improvement of 13%.
Item Type: | Journal Article | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Journal or Publication Title: | IEEE Transactions on Information Technology in Biomedicine | ||||
Publisher: | IEEE | ||||
ISSN: | 1089-7771 | ||||
Official Date: | July 2009 | ||||
Dates: |
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Volume: | 13 | ||||
Number: | 4 | ||||
Page Range: | pp. 645-655 | ||||
DOI: | 10.1109/TITB.2009.2021159 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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