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Proceedings Paper

Information Extraction From Multi-Modality Medical Imaging
Author(s): Barry L Engeistad; Joseph Meyers; William A Hanson; William O'Connell; Robert C Taylor; Ralph Bernstein
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Paper Abstract

Two information. extraction methods were applied to selected diagnostic medical images obtained from different imaging. modalities. Sample images consisted of magnetic resonance tomograms, transmission computed tomograms, and emission computed tomograms of patients with focal and generalized brain abnormalities. Color composite analysis applied to image pairs afforded a limited but potentially useful approach to enable rapid, objective. depiction of relative and absolute contribu-tions from dualmodality parameters. Cluster analysis applied to image pairs or triplets was computationally more demanding, but this approach afforded a method for objective classification of tissues that could be generalized. Technical problems arise from patient factors and machine factors. Patient factors include motion and positioning. Machine factors include resolution, orientation, format, registration and scaling.

Paper Details

Date Published: 8 June 1988
PDF: 7 pages
Proc. SPIE 0902, Three-Dimensional Imaging and Remote Sensing Imaging, (8 June 1988); doi: 10.1117/12.944776
Show Author Affiliations
Barry L Engeistad, University of California (United States)
Joseph Meyers, IBM Palo Alto Scientific Center (United States)
William A Hanson, IBM Palo Alto Scientific Center (United States)
William O'Connell, University of California (United States)
Robert C Taylor, University of California (United States)
Ralph Bernstein, IBM Palo Alto Scientific Center (United States)


Published in SPIE Proceedings Vol. 0902:
Three-Dimensional Imaging and Remote Sensing Imaging
Woodrow E. Robbins, Editor(s)

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