In this paper, the author discusses in detail an efficient iterative image reconstruction algorithm in industrial computerized tomography (ICT) with the narrow fan-beam projection.
本文对工业CT窄角扇束扫描方式下的迭代图像重建算法进行了研究。
Methods the CF iterative algorithm was applied to update the noisy detected emission sinogram data using the latest reconstructed image in the iterative process of PET reconstruction.
在PET重建的迭代过程中，此种负反馈迭代算法利用最近的一次重建图像来更新有噪声的探测到的发射正弦图数据。
The image result is more accurate than that of LBP algorithm and similar to that of iterative algorithm. So this new method is a real-time and more accurate reconstruction algorithm.
该算法重建图像所用的时间与LBP算法相当，而重建图像的质量与迭代算法相近，是一种精度较高的实时重建算法。
The unsuitable iterative number of the Regularized Orthogonal Matching Pursuit (ROMP) algorithm in the framework of Compressive Sensing (CS) may reduce the quality of image reconstruction greatly.
在压缩感知框架下运用正则化正交匹配追踪(ROMP)算法进行图像重构时，迭代次数取值不合适会严重降低重构图像的质量。
The unsuitable iterative number of the Regularized Orthogonal Matching Pursuit (ROMP) algorithm in the framework of Compressive Sensing (CS) may reduce the quality of image reconstruction greatly.
在压缩感知框架下运用正则化正交匹配追踪(ROMP)算法进行图像重构时，迭代次数取值不合适会严重降低重构图像的质量。
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