Synthetic MR Images With Enhanced Tissue Contrast By Supervised Pixel Intensity Subspace Methods

J. J. Sychra; K. Chan; V. Capek; M. Mafee

doi:10.1117/12.961734

18 October 1989 Synthetic MR Images With Enhanced Tissue Contrast By Supervised Pixel Intensity Subspace Methods

J. J. Sychra, K. Chan, V. Capek, M. Mafee

Proceedings Volume 1137, Science and Engineering of Medical Imaging; (1989) https://doi.org/10.1117/12.961734
Event: 1989 International Congress on Optical Science and Engineering, 1989, Paris, France

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.

Citation Download Citation

J. J. Sychra, K. Chan, V. Capek, and M. Mafee "Synthetic MR Images With Enhanced Tissue Contrast By Supervised Pixel Intensity Subspace Methods", Proc. SPIE 1137, Science and Engineering of Medical Imaging, (18 October 1989); https://doi.org/10.1117/12.961734

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