电磁层析成像图像重建算法

电磁层析成像因其非侵入性、安全性能佳和速度快等特点在多相流在线检测中具有良好的发展前景,电磁层析成像中的重建算法与技术,是其在工业实际中得以应用的关键。近年来在图像重建方面的研究取得了较大的进展,灵敏度系数法,线性反投影(LBP)法,Tikhonov正则化法及ART法,同步代数重建法(SIRT)算法,Newto-Raphson法,Landweber迭代法等等。此外,对神经网络等新出现算法在EMT图像重建中的应用取得了一定的成果。本文对各种算法作了一定的评述。

Review about Image Reconstruction Arithmetic for Electromagnetic Tomography

The Electromagnetic Tomography is non-invasive, good of security performance, rapid dynamic response, so it is suitable for online measuring of multiphase flow. The reconstruction arithmetic and related technology in Electromagnetic Tomography are the keys to its application in industries. Recently the studies in this area get much development. Coefficients of Sensitivity, Linear back projection (LBP), the algebraic reconstruction technique (ART), the simultaneous iterative reconstruction technique (SIRT), Tikhonov regularization, projected Landweber iteration, Newton-Raphson, etc. In addition, some new arithmetic methods such as artificial neural network technique have realized the certain achievement in image construction. This passage has certain review about image reconstruction for electromagnetic tomography.