本文在比较了各种算法后，采用卷积反投影算法作为并行图像重建的算法。
After comparing different algorithms, this paper introduces convolution back projection algorithm for the parallel image reconstruction.
重点分析了利用经典的卷积反投影算法重建康普顿背散射扫描图像过程中的数据修正问题。
The paper primarily analyses the data correction in reconstructing the image of CBS in the manner of classical filtered back-project.
利用卷积反投影算法对图像进行重建时，要降低成本，提高成像效率，就必须选取合理的抽样间距和投影数。
It is important to select suitable sampling space and projection data for reducing cost and improving the image reconstruction efficiency in convolution backprojection algorithm.
卷积反投影(CBP)与直接傅立叶重建(DF)同是图像重建中变换法的典型算法。
Both convolution Backprojection (CBP) method and direct-Fourier (DF) reconstruction method are the representative algorithms of transform methods in image reconstruction.
基于普通微机，使用这种优化的卷积反投影重建算法与传统重建算法进行了比较。
The new technique of convolution backprojection algorithm compared with traditional reconstruction algorithm based PC.
基于普通微机，使用这种优化的卷积反投影重建算法与传统重建算法进行了比较。
The new technique of convolution backprojection algorithm compared with traditional reconstruction algorithm based PC.
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