Presentation 2001/7/20
A Multiple Smoothing Coefficient Algorithm and Data Reconstruction in Impedance Computed Imaging
Akemi Suzuki, Akihiko Uchiyama,
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Abstract(in English) A fixed coefficient method is one of the effective algorithms, which improves the ill-conditioning to solve the divergence problem in impedance computed tomography. However, the determination of a good smoothing coefficient λ depends on the mass experiments and the one's experience. We have done some research on an automatic method to calculate λ. On the first step, in this paper, a fixed coefficient method using multiple smoothing coefficients is introduced. We have reconstructed the measurement data of our phantoms in order to improve the ill-conditioning problem and the precision of images. As a result, the performance of the data reconstruction is closely related to the choice of the coefficient λ. A large λ distorts the information and a small one has little effect and sometimes fails to obtain any image. Besides, the compensation effect of the coefficient λ will be different according to a change in the compensation function.
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Keyword(in English) impedance CT / data reconstruction / smoothing coefficient / algorithm / ill-conditioning
Paper # MI2001-25
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Committee MI
Conference Date 2001/7/20(1days)
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Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Multiple Smoothing Coefficient Algorithm and Data Reconstruction in Impedance Computed Imaging
Sub Title (in English)
Keyword(1) impedance CT
Keyword(2) data reconstruction
Keyword(3) smoothing coefficient
Keyword(4) algorithm
Keyword(5) ill-conditioning
1st Author's Name Akemi Suzuki
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 2001/7/20
Paper # MI2001-25
Volume (vol) vol.101
Number (no) 239
Page pp.pp.-
#Pages 8
Date of Issue