Quantitative Microwave Imaging Based on a Huber regularization
نویسنده
چکیده
Reconstruction of inhomogeneous dielectric objects from microwave scattering by means of quantitative microwave tomography is a nonlinear, ill-posed inverse problem. In this paper, we employ the Huber function as a robust regularization approach for this challenging problem. The resulting reconstructions both in 2D and 3D from sparse data points for piecewise constant objects are encouraging. The reconstructions of more complex permittivity profiles from breast phantom data indicate potential for use in biomedical imaging.
منابع مشابه
3D quantitative microwave imaging from sparsely measured data with Huber regularization
Reconstructing complex permittivity profiles of dielectric objects from measurements of the microwave scattered field is a non-linear ill posed inverse problem. We analyze the performance of the Huber regularizer in the application, studying the influence of the parameters under different noise levels. Moreover, we evaluate the whole approach on real 3D electromagnetic measurements. Our focus i...
متن کاملXII-th International Workshop on Optimization and Inverse Problems in Electromagnetism
We develop a new regularization approach for 3D quantitative microwave tomography, based on a discontinuity adaptive model. The resulting reconstructions from sparse data points for 3D piecewise constant objects are encouraging. The reconstructions of more complex (piece-wise continuous) permittivity profiles from breast phantom data indicate potential for use in biomedical imaging.
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