Image-reconstruction algorithm based on constrained conjugate gradient for radiography

jing yue-feng; liu rui-gen; dong wei-shen

Volume 17 Issue 07

Jul. 2005

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Article Navigation > High Power Laser and Particle Beams > 2005 > 17(07): 0-

wang kun-peng, zhang jian-xiu, fang chang-shui, et al. First-principle studies of the effects of K vacancy in KDP crystals upon laser-induced damage[J]. High Power Laser and Particle Beams, 2006, 18.

Citation:

jing yue-feng, liu rui-gen, dong wei-shen. Image-reconstruction algorithm based on constrained conjugate gradient for radiography[J]. High Power Laser and Particle Beams, 2005, 17.

wang kun-peng, zhang jian-xiu, fang chang-shui, et al. First-principle studies of the effects of K vacancy in KDP crystals upon laser-induced damage[J]. High Power Laser and Particle Beams, 2006, 18.

Citation:

jing yue-feng, liu rui-gen, dong wei-shen. Image-reconstruction algorithm based on constrained conjugate gradient for radiography[J]. High Power Laser and Particle Beams, 2005, 17.

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Image-reconstruction algorithm based on constrained conjugate gradient for radiography

1.
Institute of Fluid Physics,CAEP,P.O.Box 919-105,Mianyang 621900,China

Publish Date: 2005-07-15

Abstract

Abstract

Based on the constrained conjugate gradient algorithm, a regularization preconditioned constrained conjugate gradient algorithm (RPCCG) was proposed for image-reconstruction for radiography. The RPCCG used the Tikhonov regularization criterions to get the reconstruction equation. The equation was solved by using the preconditioned conjugate gradient algorithm, constrained with prior knowledge. Numerical experiment results show that in comparison with the FBP algorithm, RPCCG based on least square + smoothness criterion is more efficient in reconstruction quality and noise removal.
- constrained conjugate gradient,
- image reconstruction,
- regularization,
- flash x-ray radiography

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