Comparison of an Enhanced Distorted Born Iterative Method and the Multiplicative-Regularized Contrast Source Inversion method

被引:78
|
作者
Gilmore, Colin [1 ]
Mojabi, Puyan [1 ]
LoVetri, Joe [1 ]
机构
[1] Univ Manitoba, Dept Elect & Comp Engn, Winnipeg, MB R3T 2N2, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Biomedical electromagnetic imaging; electromagnetic scattering inverse problems; inverse problems; BREAST-CANCER DETECTION; DIELECTRIC CYLINDER; INTEGRAL-EQUATIONS; NEWTON-KANTOROVICH; PARAMETER-CHOICE; L-CURVE; MICROWAVE; SCATTERING; RECONSTRUCTION; ALGORITHMS;
D O I
10.1109/TAP.2009.2024478
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
For 2D transverse magnetic (TM) microwave inversion, multiplicative-regularized contrast source inversion (MR-CSI), and the distorted Born iterative method (DBIM) are compared. The comparison is based on a computational resource analysis, inversion of synthetic data, and inversion of experimentally collected data from both the Fresnel and UPC Barcelona data sets. All inversion results are blind, but appropriate physical values for the reconstructed contrast are maintained. The data sets used to test the algorithms vary widely in terms of the background media, antennas, and far/near field considerations. To ensure that the comparison is replicable, an automatic regularization parameter selection method is used for the additive regularization within the DBIM, which utilizes a fast implementation of the L-curve method and the Laplacian regularizer. While not used in the classical DBIM, we introduce an MR term to the DBIM in order to provide comparable results to MR-CSI. The introduction of this MR term requires only slight modifications to the classical DBIM algorithm, and adds little computational complexity. The results show that with the addition of the MR term in the DBIM, the two algorithms provide very similar inversion results, but with the MR-CSI method providing advantages for both computational resources and ease of implementation.
引用
收藏
页码:2341 / 2351
页数:11
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