3D constrained conjugate gradient algorithm for image reconstruction in high-energy radiography

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作者
Institute of Fluid Physics, CAEP, P.O. Box 919-105, Mianyang 621900, China [1 ]
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Qiangjiguang Yu Lizishu | 2007年 / 5卷 / 863-867期
关键词
Computer simulation - Conjugate gradient method - Image reconstruction - Signal to noise ratio;
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摘要
Based on constrained conjugate gradient algorithm, a 3D constrained conjugate gradient algorithm (3D-CCG) is proposed for the reconstruction on high-energy radiography image. Constrained with prior knowledge, the reconstruction equation of 3D-CCG based on three-dimension reconstruction theory is solved by use of the preconditioned conjugate gradient algorithm. Numerical experiment results show that compared with the filter back projection algorithm and RPCCG, 3D-CCG is more efficient in reconstruction quality.
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