Reconstruction of CT Images Based on Cross-Entropy Method

被引：0

作者：

Wang, Qi ^{[1
]}

Wang, Huaxiang ^{[1
]}

Yan, Yong ^{[2
]}

机构：

[1] Tianjin Univ, Sch Elect Engn & Automat, Tianjin 300072, Peoples R China

[2] Univ Kent, Sch Engn Digital Arts, Canterbury CT2 7NT, Kent, England

来源：

2010 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE I2MTC 2010, PROCEEDINGS | 2010年

基金：

中国国家自然科学基金;

关键词：

computerized tomography (CT); multi-phase flow; image reconstruction; cross-entropy method; information extension; MULTIPHASE FLOW; SYSTEM; TOMOGRAPHY; INFORMATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper describes the system models that are developed for multi-phase flow CT through the use of the Geant4 simulating software toolkit. Models with five, seven and nine radiation sources are reconstructed. In order to improve the resolution of the CT images reconstructed using conventional algorithms, a cross-entropy minimization technique together with an information extension method is proposed. A minimum cross-entropy (MCE) method - SMART is presented. The choices of weighting factors and prior information are discussed. This method improves the spatial resolution and reduces artifacts effectively. Both simulation and experimental results show that the SMART method improves not only the quality of reconstructed images but also the real time performance.

引用

页数：5

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