DocumentCode :
1062532
Title :
Comparison of an Enhanced Distorted Born Iterative Method and the Multiplicative-Regularized Contrast Source Inversion method
Author :
Gilmore, Colin ; Mojabi, Puyan ; LoVetri, Joe
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Manitoba, Winnipeg, MB, Canada
Volume :
57
Issue :
8
fYear :
2009
Firstpage :
2341
Lastpage :
2351
Abstract :
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.
Keywords :
biomedical imaging; inverse problems; biomedical electromagnetic imaging; computational complexity; data sets; distorted born iterative method; electromagnetic scattering inverse problems; multiplicative-regularized contrast source inversion method; transverse magnetic microwave; Biology computing; Biomedical imaging; Electromagnetic scattering; Image reconstruction; Inverse problems; Iterative methods; Magnetic analysis; Microwave imaging; Microwave theory and techniques; Testing; Biomedical electromagnetic imaging; electromagnetic scattering inverse problems; inverse problems;
fLanguage :
English
Journal_Title :
Antennas and Propagation, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-926X
Type :
jour
DOI :
10.1109/TAP.2009.2024478
Filename :
5067347
Link To Document :
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