A 2D approach to tomographic image reconstruction using a Hopfield-type neural network

被引：29

作者：

Cierniak, Robert ^{[1
]}

机构：

[1] Czestochowa Tech Univ, Dept Comp Engn, PL-42200 Czestochowa, Poland

来源：

ARTIFICIAL INTELLIGENCE IN MEDICINE | 2008年 / 43卷 / 02期

关键词：

image reconstruction from projections; neural network; Hopfield net;

D O I：

10.1016/j.artmed.2008.03.003

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Objective: In this paper a new approach to tomographic image reconstruction from projections is developed and investigated. Method: To solve the reconstruction problem a special neural network which resembles a Hopfield net is proposed. The reconstruction process is performed during the minimizing of the energy function in this network. To improve the performance of the reconstruction process an entropy term is incorporated into energy expression. Result and conclusion: The approach presented in this paper significantly decreases the complexity of the reconstruction problem. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：113 / 125

页数：13

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