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An extension to a probability density function (PDF)-based analysis of medical images is discussed. The PDF of interest is that of fractional Brownian motion, and the extension is a reformulation of the problem to explicitly exploit two-dimensional data. It is found that the resulting segmentation can be much more accurate than previous methods. However, due to the computational intensity of the problem,...
The authors studied certain characteristics of the expectation-maximization (EM) algorithm for image reconstruction in positron emission tomography (PET). They have attempted to speed up the algorithm by performing some time-consuming computation only once, at the initiation stage. They have studied the resulting memory size, disk space, and CPU requirements versus the number of pixels in the reconstructed...
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