针对光学计算机层析术(Optical Computerized Tomography, OCT)中有限角条件下的严重非完全数据重建问题,提出了正交投影采样,结合基于改进的代数重建术(ART)的先验知识算法,以在尽可能少的投影方向数下较好地重建含遮挡物的三维流场。通过计算机模拟,详细讨论了在有限角条件下含遮挡物的三维流场的非完全数据重建精度及误差分析。结果表明,在有限角及含遮挡物条件下,采用正交投影采样可以极大地减少严重非完全数据重建中的误差,提高重建精度,从而为将光学计算机层析术应用于非完全数据的实测中提供了参考。

In order to solve the reconstruction of extremely incomplete data under the condition of limited viewing angles in optical computerized tomography (OCT), the orthogonal projection sampling method is proposed to reconstruct the threedimensional flow field containing shield by the least projection direction components with the prior knowledge algorithm based on modified algebra reconstruction technology (ART). With the numerical simulation of computer, the incomplate data reconstruction precision and meansquare error of threedimentional flow field containing shield are discussed under the condition of limited viewing angles. The results indicate that the orthogonal projection sampling method can greatly reduce the error and improve the precision in the reconstruction of extremely incomplete data for the threedimensional flow field containing shield within limited viewing angle, and this work provides an important reference for the practical measurement of incomplete data with OCT.