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A framework for automatically tracking tag lines from a sequence of magnetic resonance (MR) images is described. MR tagging is used to create a spatial pattern of varying magnetization so that objects which may otherwise have small intensity variation are textured. The algorithm presented here uses a dynamic programming solution to a variational integral for energy minimization of curves, where the...
A computationally intensive approach to three-dimensional cardiac magnetic resonance (MR) reconstruction is described. This technique used semitransparent surface rendering to give a view of human left and right blood pools within the cardiac structure. Blood was given a colored solid surface, while the cardiac wall was semitransparent.<<ETX>>
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,...
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