An evaluation of 3-D vs. 2-D compression of medical images with set partitioning in hierarchical trees

A. Manduca, K. R. Persons, B. J. Erickson, P. M. Palisson

Research output: Contribution to journalConference articlepeer-review


Wavelet-based image compression is a very effective technique for medical images, giving significantly better results than the JPEG algorithm. Recent advanced wavelet techniques, such as embedded zerotree wavelet coding or set partitioning in hierarchical trees (SPIHT), have further improved compression efficency by exploiting the natural relationship between corresponding coefficients at different scales and by progressively refining coefficient values. It is also well known that full 3-D wavelet compression of 3-D data sets is significantly more efficient than 2-D compression of individual slices, but the memory requirements are very high. We explore the extension of the SPIHT algorithm to three dimensions, and also of intermediate approaches such as the encoding of a 3-D image in "slabs" of 16 slices at a time or simple subtraction of neighboring slices, which yield different tradeoffs between speed and memory requirements on the one hand and compression efficiency on the other for a variety of possible approaches on typical 3-D CT and MRI data sets.

Original languageEnglish (US)
Pages (from-to)359-364
Number of pages6
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 1998
EventMedical Imaging 1998: Image Display - San Diego, CA, United States
Duration: Feb 22 1998Feb 24 1998


  • Image coding
  • Image compression
  • PACS
  • Teleradiology
  • Wavelet compression

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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