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Improved SIRT algorithm and its application to reconstruct image in underground magnetic CT

机译:改进的SIRT算法及其在地下CT图像重建中的应用

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Underground Magnetic CT technique is a newly geophysical prospecting method widely used in detecting inner structure of geologic bodies. At present two most popular image reconstructing algorithms in computerized tomography are algebra reconstruction technology(ART) and simultaneous iterative reconstruction techniques(SIRT). Both of the two algorithms have their own drawbacks. In this paper we studied the theory of ART and SIRT technique, analyzed the causes of drawbacks of the two algorithms and then we improved SIRT algorithm by selecting the data processed by ART as initial value of iteration in SIRT. The result of the forward simulation showed that the improved method overcomes the instability of SIRT and enhanced accuracy of SIRT. At the end of this paper, we applied the improved SIRT method to reconstruct image in an electromagnetic prospecting.
机译:地下电磁CT技术是一种新的物探方法,广泛应用于探测地质主体内部结构。目前,计算机断层扫描中最流行的两种图像重建算法是代数重建技术(ART)和同时迭代重建技术(SIRT)。两种算法都有其自身的缺点。本文研究了ART和SIRT技术的理论,分析了这两种算法的弊端,然后通过选择ART处理的数据作为SIRT中迭代的初始值,对SIRT算法进行了改进。前向仿真结果表明,改进后的方法克服了SIRT的不稳定性,提高了SIRT的准确性。在本文的最后,我们将改进的SIRT方法应用于电磁勘探中的图像重建。

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