DocumentCode :
401788
Title :
An image reconstruction algorithm based on generalized inverse for medical impedance tomography
Author :
Wang, Chao ; Wang, Hua-xiang
Author_Institution :
Sch. of Electr. & Autom. Eng., Tianjin Univ., China
Volume :
4
fYear :
2003
fDate :
2-5 Nov. 2003
Firstpage :
2152
Abstract :
In this paper, a method called the generalized inverse image reconstruction algorithm with threshold based on the sensitivity theorem is proposed. The ways on which the regularization parameter is selected is also presented. Both theoretical and experimental results show that this proposed algorithm can provide images superior to those obtained with the filter back projection and the sensitivity coefficient algorithm.
Keywords :
electric impedance imaging; image reconstruction; medical image processing; tomography; dynamic imaging; electrical impedance tomography; generalized inverse image reconstruction; medical impedance tomography; regularization parameter; sensitivity theorem; Biomedical imaging; Chaos; Conductivity; Equations; Erbium; Image reconstruction; Impedance; Matrix decomposition; Singular value decomposition; Tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
Type :
conf
DOI :
10.1109/ICMLC.2003.1259862
Filename :
1259862
Link To Document :
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