Total-Variation Regularization in Positron Emission Tomography (1998)
BibTeX
@MISC{Jonsson98total-variationregularization,
author = {Elias Jonsson and Sung-cheng Huang and Tony Chan},
title = {Total-Variation Regularization in Positron Emission Tomography},
year = {1998}
}
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Abstract
We propose a computational algorithm for incorporating total variational (TV) regularization in positron emission tomography (PET). The motivation for using TV is that it has been shown to suppress noise effectively while capturing sharp edges without oscillations. This feature makes it particularly attractive for those applications of PET where the objective is to identify the shape of objects (e.g. tumors) that are distinguished from the background by sharp edges. We show that the standard EM algorithm can be modi ed to incorporate the TV regularization, resulting in an algorithm that is convergent independent of the amount of regularization.
