Volume compression of MRI data using zerotrees of wavelet coefficients

Michael A. Pratt, Chee Hung H. Chu, Stephen T.C. Wong

Research output: Contribution to journalConference articlepeer-review

10 Scopus citations


Volume data such as those acquired by magnetic resonance imaging techniques can be compressed efficiently using the wavelet transform. Wavelet compression methods need to retain both the value and the location of the significant coefficients. We present experimental results demonstrating the use of zerotree encoding methods in wavelet compression can enhance the ability to further compress volume data.

Original languageEnglish (US)
Pages (from-to)752-763
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 1996
EventWavelet Applications in Signal and Image Processing IV - Denver, CO, United States
Duration: Aug 6 1996Aug 6 1996


  • data compression
  • magnetic resonance imaging
  • volume data
  • wavelets
  • zerotrees

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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