Presentation 2001/7/20
Tomographic image reconstruction from a limited number of projection by using duality of non-linear programing problem
Meihua LI, Hiroyuki KUDO,
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Abstract(in English) This paper, based on the duality of the nonlinear programming, proposes an accurate row-action type iterative method which is appropriate to reconstruct sparse objects from a limited number of projections. The cost function we use is the L_p norm. When p ≈ 1.1, L_p norm is both convex and differentiable so that we can use the duality of the nonlinear programming to construct an iterative solution method. Furthermore, p ≈ 1.1 allows to pick up a sparse solution from a set of feasible solutions to the measurement equation. The method we propose is just the ART method when p=2. Additionally, we add the bound constraint condition with the nonlinear programming to pick up a solution which is more close to the true solution. At last, we also show that this method works well in the 3-D blood-vessel reconstruction from a limited number of projection.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) transmission tomography / emission tomography / cost function / ART method / dual method
Paper # MI2001-24
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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) Tomographic image reconstruction from a limited number of projection by using duality of non-linear programing problem
Sub Title (in English)
Keyword(1) transmission tomography
Keyword(2) emission tomography
Keyword(3) cost function
Keyword(4) ART method
Keyword(5) dual method
1st Author's Name Meihua LI
1st Author's Affiliation Doctoral Program in Engineering, University of Tsukuba()
2nd Author's Name Hiroyuki KUDO
2nd Author's Affiliation Institute of Information Sciences and Electronics, University of Tsukuba
Date 2001/7/20
Paper # MI2001-24
Volume (vol) vol.101
Number (no) 239
Page pp.pp.-
#Pages 7
Date of Issue