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Algebraic Reconstruction Technique Fusing with Pointwise Measurements in Optical Computerized Tomography

机译:光学计算机断层扫描中的代数重建技术融合

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In Optical Computerized Tomography (OCT) reconstruction, the well-known restrictions are positivity of the field and boundary conditions. In this paper, the extra information-the probed value of a set of isolated points, which is readily available in industrial practice, is introduced into OCT based on information fusing (IF) techniques. To solve the incompatibility of the different testing systems, which brings high frequencies disturbance to the reconstruction, an adaptive algorithm is developed to make a good use of the pointwise priori. The algorithm, derived from the third Algebraic Reconstruction Technique (ART3), is not only friendly to the information from various measuring systems, but very robust to irregular noise and even missing projections as well. By analyzing the simulated experiments, we strongly suggest that OCT give some attention to the information from external resources.
机译:在光学计算机断层扫描(OCT)重建中,众所周知的限制是场和边界条件的积极性。在本文中,基于信息融合(IF)技术,将额外信息 - 在工业实践中容易获得的一组孤立点的探测值。为了解决不同测试系统的不兼容,这为重建带来了高频干扰,开发了一种自适应算法以充分利用尖锐的先验。来自第三代数重建技术(ART3)的算法不仅友好于来自各种测量系统的信息,而是对不规则噪声甚至缺少投影的甚至非常稳健。通过分析模拟实验,我们强烈建议OCT向外资源引起信息。

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