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Electromagnetic tomography (EMT): image reconstruction based on the inverse problem

机译:电磁层析成像(EMT):基于反问题的图像重建

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摘要

Starting from Maxwell's equations for inhomogeneous media, nonlinear integral equations of the inverse problem of the electromagnetic tomography (EMT) are derived, whose kernel is the dyadic Green's function for the EMT sensor with a homogeneous medium in the object space. Then in terms of ill-posedness of the inverse problem, a Tikhonov-type regularization model is established based on a linearization-approximation of the nonlinear inverse problem. Finally, an iterative algorithm of image reconstruction based on the inverse problem and reconstruction images of some object flows for simplified sensor are given. Initial results of the image reconstruction show that the algorithm based on the inverse problem is superior to those based on the linear back-projection in the quality of image reconstruction.
机译:从非均匀介质的麦克斯韦方程出发,推导了电磁层析成像(EMT)反问题的非线性积分方程,其核是对象空间中具有均匀介质的EMT传感器的二进格林函数。然后根据反问题的不适定性,基于非线性反问题的线性化近似,建立了Tikhonov型正则化模型。最后,给出了一种基于反问题的图像重构迭代算法,并给出了一些简化的传感器目标流重构图像。图像重建的初步结果表明,基于逆问题的算法在图像重建质量方面优于基于线性反投影的算法。

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