DocumentCode :
568321
Title :
Total variation image reconstruction for electrical capacitance tomography
Author :
Chandrasekera, Thusara C. ; Li, Yi ; Dennis, John S. ; Holland, Daniel J.
Author_Institution :
Dept. of Chem. Eng. & Biotechnol., Univ. of Cambridge, Cambridge, UK
fYear :
2012
fDate :
16-17 July 2012
Firstpage :
584
Lastpage :
589
Abstract :
A new iterative reconstruction technique for electrical capacitance tomography (ECT) is presented. This method applies iterative soft thresholding to penalize the total variation of the ECT image. This method is shown to allow for sharp changes between different regions of simulated ECT images, unlike conventional iterative reconstruction techniques such as ART, SIRT and the Landweber iteration. The technique is demonstrated on experimental results for a phantom with distinct regions of gas and solid. The technique is therefore appropriate for the imaging of multiphase systems.
Keywords :
capacitance measurement; electric impedance imaging; flow visualisation; image reconstruction; iterative methods; multiphase flow; electrical capacitance tomography; iterative reconstruction technique; iterative soft thresholding; multiphase system imaging; total variation image reconstruction; Capacitance measurement; Electrodes; Image reconstruction; Permittivity; Permittivity measurement; Phantoms; Vectors; Fast Iterative Shrinkage Thresholding Algorithm; electrical capacitance tomography; image reconstruction; imaging; iterative soft thresholding; total variation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Imaging Systems and Techniques (IST), 2012 IEEE International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-1-4577-1776-5
Type :
conf
DOI :
10.1109/IST.2012.6295573
Filename :
6295573
Link To Document :
بازگشت