DocumentCode
491445
Title
Numerical Simulation of a New Self-adapted Deflection Tomography
Author
Song, Yizhong ; Zhao, Zhimin
Volume
2
fYear
2009
fDate
6-8 Jan. 2009
Firstpage
560
Lastpage
563
Abstract
A new deflection tomography algorithm was suggested and verified with a simulated flow field. The programs calculating deflection projection and inverse projection were worked out based on optical refraction principle and mathematical, physical significance of tomography. With our home-made Simple Self-Correlative Algebraic Reconstruction Technique (SSART), a new deflection tomography algorithm was programmed and named self-adapted deflection tomography. To test its performance, a section of a complex flow field was simulated. The deflection projections were figured out according to the tomography algorithm. The section was reconstructed with the projections by SSART. The reconstructed result was compared with the model in order to test the performance of the system. The reconstructive effect was scaled with Mean-square error (MSE) and Peak error (PE). As the result, the system could reconstruct the simulated field accurately. MSE of reconstruction was about from 0.00009 to 0.001 at the end of 300 cycle iterations, and PE was about from 0.001 to 0.02. So, the self-adapted deflection tomography system can accurately reconstruct complex flow fields.
Keywords
computerised tomography; light refraction; mean square error methods; optical tomography; MSE; SSART; deflection projection; inverse projection; mean-square error; optical computerized tomography; optical refraction principle; peak error; self-adapted deflection tomography; simple self-correlative algebraic reconstruction technique; Difference equations; Integral equations; Numerical simulation; Optical refraction; Optical variables control; Refractive index; System testing; Temperature; Tomography; Visualization; Error; Iterating algorithm; Numerical simulation; Tomography; flow field;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Mobile Computing, 2009. CMC '09. WRI International Conference on
Conference_Location
Yunnan
Print_ISBN
978-0-7695-3501-2
Type
conf
DOI
10.1109/CMC.2009.23
Filename
4797186
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