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Proceedings Paper

Synthetic MR Images With Enhanced Tissue Contrast By Supervised Pixel Intensity Subspace Methods
Author(s): J. J. Sychra; K. Chan; V. Capek; M. Mafee
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Paper Abstract

Synthetic MR images that enhance tissue related contrast are proposed and compared. They are based on a subset supervised subspace methods. Advantages and weaknesses of individual transforms are discussed, including the discriminatory power, contrast and contrast/noise of the resulting images. For example, it is shown that eigenimages can be derived in a simple way without eigenanalysis, that eigenfilter is inferior to the maximal contrast transform, and that the common weakness of both of these methods can be compensated for by a blending transform. Examples of the corresponding synthetic images are provided as well.

Paper Details

Date Published: 18 October 1989
PDF: 9 pages
Proc. SPIE 1137, Science and Engineering of Medical Imaging, (18 October 1989); doi: 10.1117/12.961734
Show Author Affiliations
J. J. Sychra, University of Illinois (United States)
K. Chan, University of Illinois (United States)
V. Capek, University of Illinois (United States)
M. Mafee, University of Illinois (United States)

Published in SPIE Proceedings Vol. 1137:
Science and Engineering of Medical Imaging

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