DocumentCode
1909202
Title
An Evaluation Method for Reconstructed Images in Electrical Tomography
Author
Wang, Chao ; Qian, Xiangchen ; Yan, Yong ; Dong, Feng ; Wang, Huaxiang
Author_Institution
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin
fYear
2008
fDate
12-15 May 2008
Firstpage
692
Lastpage
696
Abstract
The quality of reconstructed images plays an important part in evaluating reconstruction algorithms in electrical tomography. Existing image evaluation methods have many limitations. A multi-parameter and quantitative evaluation method is presented in this paper, which is based on the analysis of the characteristics of reconstructed images and digital image processing methods. The new method has three types of evaluation parameters, i.e., area, position, and similarity parameters. In order to ensure the efficacy of the new method, some typical distribution models are built using electrical field simulation software. Simulation data derived from the finite element method are also given. The simulation data demonstrate that the method is suitable for comprehensive evaluation of reconstructed images and the results are consistent with visual perception.
Keywords
computerised tomography; image reconstruction; medical image processing; digital image processing methods; electrical field simulation software; electrical tomography; image evaluation methods; reconstructed images; similarity parameters; visual perception; Area measurement; Biomedical measurements; Digital images; Electric variables measurement; Electrical capacitance tomography; Image quality; Image reconstruction; Image resolution; Iterative algorithms; Spatial resolution; Electrical tomography; digital image processing; evaluation method; image reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference Proceedings, 2008. IMTC 2008. IEEE
Conference_Location
Victoria, BC
ISSN
1091-5281
Print_ISBN
978-1-4244-1540-3
Electronic_ISBN
1091-5281
Type
conf
DOI
10.1109/IMTC.2008.4547125
Filename
4547125
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