Total Variation Regularization in
نویسندگان
چکیده
We propose computational algorithms for incorporating total varia-tional (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 modiied to incorporate the TV regularization, resulting in an algorithm that is robust independent of the amount of regularization.
منابع مشابه
Total Variation Regularization and L-curve method for the selection of regularization parameter
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