基于约束共轭梯度的高能闪光照相3维重建算法
3D constrained conjugate gradient algorithm for image reconstruction in high-energy radiography
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摘要: 针对高能闪光照相系统成像信噪比低的特点，提出了3维约束共轭梯度算法，该算法基于3维重建理论来重建方程，利用约束共轭梯度法迭代求图像重建的最优解。数值模拟结果表明：采用3维约束共轭梯度算法能有效改善高能闪光照相重建图像轴线噪声大的问题，是一种具有很高抗噪能力的闪光照相图像重建算法。Abstract: 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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