A New Algorithm for Image Reconstruction of Electrical Capacitance Tomography Based on Inverse Heat Conduction Problems
A New Algorithm for Image Reconstruction of Electrical Capacitance Tomography Based on Inverse Heat Conduction Problems
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DOI：
10.1109/jsen.2015.2506409
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发表时间：
2016-03
影响因子：
4.3
通讯作者：
M. Haddadi;R. Maddahian
中科院分区：
文献类型：
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作者：
M. Haddadi;R. Maddahian
提出了一种新的电容层析成像（ECT）图像重建算法。该算法是基于图像重建和逆热传导问题之间的类比。该算法确定圆形区域内未知物体的电导率值和边界。为此，采用有限体积法离散控制方程，并采用边界拟合网格捕捉复杂的几何形状。五个不同的案例研究，以确保所提出的方法的可靠性。计算结果表明，该方法可以在几次迭代中找到任何平滑对象。结果表明，该算法具有较高的精度和较短的计算时间，为ECT图像重建提供了一种实用可靠的新算法。
In this paper, a new algorithm of image reconstruction for electrical capacitance tomography (ECT) is introduced. The algorithm is developed based on the analogy between image reconstruction and inverse heat conduction problems. The algorithm determines the conductivity value and the boundary of an unknown object inside a circular domain. For this purpose, the governing equations are discretized using finite volume method, and a boundary fitted mesh is employed to capture complex geometries. Five different case studies are investigated to ensure the reliability of the proposed method. Calculated results showed that the presented method could find any smoothed object in a few iterations. The accuracy of obtained results and the lower calculation time of the presented algorithm represent a new applicable and reliable algorithm for ECT image reconstructions.