Scale hyperparameter estimation for GGMRF prior models with application to SPECT images
2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628) - Tập 2 - Trang 521-524 vol.2
Tóm tắt
In this work we develop a Bayesian reconstruction method for SPECT (single photon emission computed tomography) images, using as prior GGMRF (generalized Gaussian Markov random fields) distributions and estimating the scale hyperparameter following the evidence analysis. Preconditioning methods are used to estimate this hyperparameter and the approximations used are compared on synthetic images.
Từ khóa
#Image reconstruction #Degradation #Bayesian methods #Application software #Image analysis #Distributed computing #Optical computing #Reconstruction algorithms #Single photon emission computed tomography #Markov random fieldsTài liệu tham khảo
10.1109/83.535846
10.1109/78.157228
lopez, 1999, $\Sigma{\rm Hy}-$ perparameter Estimation for Emission Computed Tomography Datal, Proc of the Int Conf on Image Processing ICIP-99, 2, 667
10.1109/83.760336
10.1109/23.340655
bouman, 1998, $\Sigma{\rm Parame}-$ ter Estimation for Markov Random Fields with Applications to Bayesian Tomography, IEEE Trans on Image Processing, 7, 445
10.1109/42.222670
10.1080/01621459.1997.10473602
10.1109/83.236536