Presentation 1999/12/11
Data Reconstruction in Impedance Computed Tomography with Successive Determination of Variables
Mingji Li, Akihiko Uchiyama,
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Abstract(in English) Impedance computed tomography is greatly limited by a ill-conditioning matrix. It results in large reconstruction errors or sometimes failure to obtain any image. A fixed coefficient method can modify the updating equation and to solve the divergence problem greatly. However, determination of a good coefficient depends the mass experiments and the one's experience. In this paper, an automatic method with successive determination of variables is introduced. Besides, we have evaluated the performance of the fixed coefficient method and the successively variable method with two phantoms. As a result, it was found that the successively variable method is efficient and is more practical in use.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) impedance CT / data reconstruction / algorithm / ill-conditioning / successive variable
Paper # MBE99-120
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Conference Information
Committee MBE
Conference Date 1999/12/11(1days)
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Paper Information
Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Data Reconstruction in Impedance Computed Tomography with Successive Determination of Variables
Sub Title (in English)
Keyword(1) impedance CT
Keyword(2) data reconstruction
Keyword(3) algorithm
Keyword(4) ill-conditioning
Keyword(5) successive variable
1st Author's Name Mingji Li
1st Author's Affiliation Department of Electronics, Information and Communication Engineering, School of Science and Engineering, Waseda University()
2nd Author's Name Akihiko Uchiyama
2nd Author's Affiliation Department of Electronics, Information and Communication Engineering, School of Science and Engineering, Waseda University
Date 1999/12/11
Paper # MBE99-120
Volume (vol) vol.99
Number (no) 493
Page pp.pp.-
#Pages 6
Date of Issue