Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/15208
Title: An Efficient Lossless Compression Algorithm for fMRI Data Volume
Authors: Zhang, L 
Wu, X
Keywords: Biomedical MRI
Image coding
Medical image processing
Noise
Statistical analysis
Time series
Wavelet transforms
Issue Date: 2006
Publisher: IEEE
Source: 27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005 : IEEE-EMBS 2005, 17-18 January 2006, Shanghai, p. 3093-3096 How to cite?
Abstract: This paper presents an efficient lossless compression scheme designed for the fMRI data volume. An fMRI time series is composed of trend, noise and external stimulus response, which have different characteristics in wavelet domain. Reversible integer wavelet transform is applied to the fMRI time series. The smooth trend signals are extracted from the low frequency wavelet bands and they are coded by a lossy compression scheme. The lossy compression residual, noise, and other components are inversely transformed into time domain followed by adaptive clustering and then lossless coding. The experimental results show that the proposed method outperforms many existing schemes
URI: http://hdl.handle.net/10397/15208
ISBN: 0-7803-8741-4
DOI: 10.1109/IEMBS.2005.1617129
Appears in Collections:Conference Paper

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