jing yue-feng, liu rui-gen, guan yong-hong, et al. 3D constrained conjugate gradient algorithm for image reconstruction in high-energy radiographyJ. High Power Laser and Partical Beams, 2007, 19(05).
Citation: jing yue-feng, liu rui-gen, guan yong-hong, et al. 3D constrained conjugate gradient algorithm for image reconstruction in high-energy radiographyJ. High Power Laser and Partical Beams, 2007, 19(05).

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

  • 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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