Image reconstruction for positron emission tomography using fuzzy nonlinear anisotropic diffusion penalty

Volume: 44, Issue: 11, Pages: 983 - 997
Published: Oct 24, 2006
Abstract
Iterative algorithms such as maximum likelihood-expectation maximization (ML-EM) become the standard for the reconstruction in emission computed tomography. However, such algorithms are sensitive to noise artifacts so that the reconstruction begins to degrade when the number of iterations reaches a certain value. In this paper, we have investigated a new iterative algorithm for penalized-likelihood image reconstruction that uses the fuzzy...
Paper Details
Title
Image reconstruction for positron emission tomography using fuzzy nonlinear anisotropic diffusion penalty
Published Date
Oct 24, 2006
Volume
44
Issue
11
Pages
983 - 997
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