A ROBUST MART ALGORITHM FOR TOMOGRAPHIC APPLICATIONS
A ROBUST MART ALGORITHM FOR TOMOGRAPHIC APPLICATIONS
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DOI：
10.1080/104077999275857
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发表时间：
1999-06
影响因子：
1
通讯作者：
D. Mishra;K. Muralidhar;P. Munshi
中科院分区：
文献类型：
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作者：
D. Mishra;K. Muralidhar;P. Munshi
目前的工作是关注一个强大的重建算法的发展，涉及层析成像的应用。在早期的研究中表明，在ART系列算法中，乘法代数重建算法（MART）最适合断层重建[1]。在目前的工作中，MART算法已被扩展，使（a）其性能现在是可以接受的，在更广泛的松弛因子，（B）收敛到一个解决方案的时间要求是较低的，和（c）其性能是不太敏感的投影数据中的噪声。考虑用于评估所提出的算法的应用是（1）具有孔的圆形区域，（2）在差热流体层中的三维温度场，以及（3）使用干涉仪在差热流体层中记录的实验数据。所提出的算法被认为是一个改进，目前可用的，所有三个例子考虑。
The present work is concerned with the development of a robust reconstruction algorithm for applications involving tomography. In an earlier study it was shown that among the ART family of algorithms, the multiplicative algebraic reconstruction algorithm (MART) was the most appropriate for tomographic reconstruction [1]. In the present work, the MART algorithm has been extended so that (a) its performance is now acceptable over a wider range of relaxation factors, (b) the time requirement for convergence to a solution is lower, and (c) its performance is less sensitive to noise in the projection data. Applications considered for evaluating the proposed algorithms are (1) a circular region with holes, (2) a three-dimensional temperature field in a differentially heated fluid layer, and (3) experimental data recorded in a differentially heated fluid layer using an interferometer. The proposed algorithms are seen to be an improvement over those presently available, for all three examples considered.