Spect image reconstruction using compound prior models

被引：4
|
作者：
López, A
Molina, R
Mateos, J
Katsaggelos, AK
机构：
[1] Univ Granada, Dept Lenguajes & Sistemas Informat, E-18071 Granada, Spain
[2] Univ Granada, Dept Ciencias Comp & IA, E-18071 Granada, Spain
[3] Northwestern Univ, Dept Elect & Comp Engn, Evanston, IL 60208 USA
来源：
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE | 2002年 / 16卷 / 03期
关键词：
SPECT imaging; compound Gauss Markov random fields; Bayesian reconstruction; simulated annealing; deterministic image reconstruction;
D O I：
10.1142/S0218001402001708
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We propose a new iterative method for Maximum a Posteriori (MAP) reconstruction of SPECT (Single Photon Emission Computed Tomography) images. The method uses Compound Gauss Markov Random Fields (CGMRF) as prior model and is stochastic for the line process and deterministic for the reconstruction. Synthetic and real images are used to compare the new method with existing ones.
引用
收藏
页码：317 / 330
页数：14
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