Regularization parameter selection for penalized-likelihood list-mode image reconstruction in PET
نویسندگان
چکیده
منابع مشابه
Regularization parameter selection for penalized-maximum likelihood methods in PET
Penalized maximum likelihood methods are commonly used in positron emission tomography (PET). Due to the fact that a Poisson data-noise model is typically assumed, standard regularization parameter choice methods, such as the discrepancy principle or generalized cross validation, can not be directly applied. In recent work of the authors, regularization parameter choice methods for penalized ne...
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ژورنال
عنوان ژورنال: Physics in Medicine and Biology
سال: 2017
ISSN: 0031-9155,1361-6560
DOI: 10.1088/1361-6560/aa6cdf