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A generalized Gibbs prior for maximum a posteriori reconstruction in SPECT

✍ Scribed by Lalush, D S; Tsui, B M W

Book ID
124062963
Publisher
Institute of Physics
Year
1993
Tongue
English
Weight
798 KB
Volume
38
Category
Article
ISSN
0031-9155

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## Abstract The problem of edge‐preserving tomographic reconstruction from Gaussian data is considered. The problem is formulated within a Bayesian framework, where the image is modeled as a pair of Markov Random Fields: a continuous‐valued intensity process and a binary line process. The __a prior