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 language | English (US) |
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Pages (from-to) | 497-502 |
Number of pages | 6 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 2167 |
DOIs | |
State | Published - May 11 1994 |
Event | Medical Imaging 1994: Image Processing - Newport Beach, United States Duration: Feb 13 1994 → Feb 18 1994 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering