Multi-spectral medical image visualization with self-organizing maps

Research output: Contribution to journalArticlepeer-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 attractive, and has properties which complement those of projection-pursuit or other linear techniques. It 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)
Article number413391
Pages (from-to)633-637
Number of pages5
JournalProceedings - International Conference on Image Processing, ICIP
Volume1
DOIs
StatePublished - 1994

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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