Scale hyperparameter estimation for GGMRF prior models with application to SPECT images

A. López, R. Molina, A. Katsaggelos
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引用次数: 3

Abstract

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.
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GGMRF先验模型的尺度超参数估计及其在SPECT图像中的应用
在这项工作中,我们开发了一种用于SPECT(单光子发射计算机断层扫描)图像的贝叶斯重建方法,使用作为先验的GGMRF(广义高斯马尔可夫随机场)分布,并在证据分析之后估计尺度超参数。采用预处理方法对该超参数进行估计,并在合成图像上进行了比较。
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