Three-Dimensional Joint Inversion of EM and Acoustic Data Based on Contrast Source Inversion

Author(s):  
Xiaoqian Song ◽  
Maokun Li ◽  
Fan Yang ◽  
Shenheng Xu ◽  
Aria Abubakar
2019 ◽  
Vol 5 (2) ◽  
pp. 25 ◽  
Author(s):  
Reijer Leijsen ◽  
Patrick Fuchs ◽  
Wyger Brink ◽  
Andrew Webb ◽  
Rob Remis

The main objective of electrical-property tomography (EPT) is to retrieve dielectric tissue parameters from B ^ 1 + data as measured by a magnetic-resonance (MR) scanner. This is a so-called hybrid inverse problem in which data are defined inside the reconstruction domain of interest. In this paper, we discuss recent and new developments in EPT based on the contrast-source inversion (CSI) method. After a short review of the basics of this method, two- and three-dimensional implementations of CSI–EPT are presented along with a very efficient variant of 2D CSI–EPT called first-order induced current EPT (foIC-EPT). Practical implementation issues that arise when applying the method to measured data are addressed as well, and the limitations of a two-dimensional approach are extensively discussed. Tissue-parameter reconstructions of an anatomically correct male head model illustrate the performance of two- and three-dimensional CSI–EPT. We show that 2D implementation only produces reliable reconstructions under very special circumstances, while accurate reconstructions can be obtained with 3D CSI–EPT.


2012 ◽  
Vol 468-471 ◽  
pp. 314-317
Author(s):  
Yu Xin Xie ◽  
Xue Jing Wang ◽  
Jing Hong Miao ◽  
Cui Juan Guo ◽  
Jiang Xiong Li ◽  
...  

This paper describes an nonlinear three-dimensional (3D) inversion algorithm for reconstructing a homogeneous dielectric target in an anechoic chamber in a controlled environment. The applied algorithm is a nonlinear iterative algorithms—two domain integral equation based method, namely the contrast source inversion (CSI) algorithm. The inversion results, which are presented and compared for the co-polorized data using the multi-frequency multi-bistatic measurements, verify the capability, the accuracy of the CSI algorithm for 3-D microwave imaging.


Geophysics ◽  
2013 ◽  
Vol 78 (6) ◽  
pp. E315-E327 ◽  
Author(s):  
Torgeir Wiik ◽  
Ketil Hokstad ◽  
Bjørn Ursin ◽  
Lutz Mütschard

We evaluated a joint contrast source inversion scheme for marine controlled-source electromagnetic (mCSEM) and magnetotelluric (MT) data based on a scattered field formulation. The scheme considered only contrasts in electric conductivity, and it allowed the medium to be transversely isotropic with a vertical symmetry axis. The method was based on the integral equation formulation of electromagnetic field propagation, and we demonstrated how the method solved the inverse problem of determining the conductivity structure of the subsurface. The method did not consider MT impedances as data input to inversion, but instead explicitly the field components, and the consequences of this approach, were discussed. Although there are challenges associated with source estimation and data noise, we found it easier to make connections to CSEM and it simplified some computational issues. Three synthetic examples were considered to demonstrate the method: a reservoir below an anisotropic overburden, a salt diapir, and a reservoir near a salt diapir. MT and CSEM data were first treated sequentially, first inverting the MT data and using the result as the initial model and in the regularization in CSEM inversion. The result of this approach was then compared to a joint inversion. The same approach was finally applied to a real data set. We found that sequential inversions in some situations produced similar results as joint inversions, and hence, joint inversion may not be necessary in all situations. Nonetheless, joint inversion could be useful for imaging salt diapirs and eventually hydrocarbons near salt. In particular, it was useful to map the spatial extent of the salt diapirs. It was, moreover, a useful tool for checking data consistency in different models with respect to several data types.


2019 ◽  
Vol 5 (1) ◽  
pp. 19 ◽  
Author(s):  
Marco Salucci ◽  
Lorenzo Poli ◽  
Giacomo Oliveri

In this paper, the full-vectorial three-dimensional (3D) microwave imaging (MI) of sparse scatterers is dealt with. Towards this end, the inverse scattering (IS) problem is formulated within the contrast source inversion (CSI) framework and it is aimed at retrieving the sparsest and most probable distribution of the contrast source within the imaged volume. A customized multi-task Bayesian compressive sensing (MT-BCS) method is used to yield regularized solutions of the 3D-IS problem with a remarkable computational efficiency. Selected numerical results on representative benchmarks are presented and discussed to assess the effectiveness and the reliability of the proposed MT-BCS strategy in comparison with other competitive state-of-the-art approaches, as well.


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