Synthetic MR Images With Enhanced Tissue Contrast By Supervised Pixel Intensity Subspace Methods
Jerry J. Sychra, K. Chan, Vlastimil Capek, M. Mafee · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1989
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.