An Efficient Lossless Compression Algorithm for fMRI Data Volume

Lei Zhang, X. Wu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

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
Original languageEnglish
Title of host publication27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005 : IEEE-EMBS 2005, 17-18 January 2006, Shanghai
PublisherIEEE
Pages3093-3096
Number of pages4
ISBN (Print)0780387414
DOIs
Publication statusPublished - 2006
EventIEEE Engineering in Medicine and Biology Society. Conference [EMBC] -
Duration: 1 Jan 2006 → …

Conference

ConferenceIEEE Engineering in Medicine and Biology Society. Conference [EMBC]
Period1/01/06 → …

Keywords

  • Biomedical MRI
  • Image coding
  • Medical image processing
  • Noise
  • Statistical analysis
  • Time series
  • Wavelet transforms

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