Multi-parameter image visualization with self-organizing maps

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

The effective display of multi-parameter medical image data sets is assuming increasing importance as more distinct imaging modalities are becoming available. For medical purposes, one desirable goal is to fuse such data sets into a single most informative gray-scale image without making rigid classification decisions. A visualization technique based on a non-linear projection onto a 1-D self-organizing map is described and examples are shown. The SOM visualization technique is fast, theoretically atiractive, a useful complement to projection-pursuit or other linear techniques, and may be of particular value in calling attention to specific regions in a multi-parameter image where the component images should be examined in detail.

Original languageEnglish (US)
Pages (from-to)497-502
Number of pages6
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume2167
DOIs
StatePublished - May 11 1994
EventMedical Imaging 1994: Image Processing - Newport Beach, United States
Duration: Feb 13 1994Feb 18 1994

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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