On-Line Directional Algebraic Reconstruction Technique for Electrical Capacitance Tomography

Ji-hoon Kim, Byoung-Chae Kang, B. Choi, S. Lee, K. Kim
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引用次数: 2

Abstract

In general, image reconstruction algorithms for electrical capacitance tomography (ECT) can be classified into iterative and noniterative algorithms. Iterative algorithms produce better quality images however they can only be used off-line due to intensive computational burden. In the context of computational burden, in this paper we propose a fast noniterative image reconstruction algorithm called on-line directional algebraic reconstruction technique (OLDART) which like its predecessor, directional algebraic reconstruction technique (DART), produces the same quality image but reduces the reconstruction time. The reconstruction procedure of the proposed algorithm comprises of two steps. In the first step, a modified weighting matrix is generated off-line, and in the second step, the matrix is used for on-line image reconstruction in the same manner as the sensitivity matrix in the linear back-projection algorithm is used. In order to assess the reconstruction performance, extensive simulation results are provided for the proposed approach.
电容层析成像的在线定向代数重构技术
一般来说,电容层析成像(ECT)的图像重建算法可分为迭代算法和非迭代算法。迭代算法可以产生更好的图像质量,但由于计算量大,只能离线使用。在计算量大的背景下,本文提出了一种快速的非迭代图像重建算法,即在线定向代数重建技术(OLDART),它与其前身定向代数重建技术(DART)一样,可以产生相同质量的图像,但减少了重建时间。该算法的重构过程分为两个步骤。首先离线生成修改后的加权矩阵,第二步与线性反投影算法中的灵敏度矩阵相同,将该矩阵用于在线图像重建。为了评估该方法的重建性能,提供了大量的仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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