Resolution Capabilities of the DBIM-TwIST Algorithm in Microwave Imaging

Ziwen Guo; Syed Naveed Ahsan; Olympia Karadima; John Sotiriou; Panagiotis Kosmas

Resolution Capabilities of the DBIM-TwIST Algorithm in Microwave Imaging

Ziwen Guo, Syed Naveed Ahsan, Olympia Karadima, John Sotiriou, Panagiotis Kosmas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Abstract

We investigate resolution capabilities of adaptive thresholding methods in the context of iterative microwave imaging algorithms. Our test cases involve two closely located cylindrical targets of high dielectric contrast with respect to the background in a microwave tomography setup simulated in CST. We apply a distorted Born iterative method (DBIM), and compare a two-step iterative shrinkage thresholding (TwIST) implementation with a conventional conjugate gradient least squares (CGLS) method as linear solvers at each DBIM iteration. Our results demonstrate that applying the TwIST approach can resolve the two closely-located targets much more accurately than the CGLS under identical settings in the DBIM algorithm.

Original language	English
Title of host publication	13th European Conference on Antennas and Propagation, EuCAP 2019
ISBN (Electronic)	9788890701887
Publication status	Published - 2019

Keywords

adaptive thresholding
CGLS
DBIM
microwave imaging
TwIST

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Resolution Capabilities_GUO_Presented21March2019_GREEN AAMAccepted author manuscript, 583 KBLicence: CC BY

https://ieeexplore.ieee.org/abstract/document/8739478

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@inproceedings{cb19090cf81a4ee5afaee76efeda2324,

title = "Resolution Capabilities of the DBIM-TwIST Algorithm in Microwave Imaging",

abstract = "We investigate resolution capabilities of adaptive thresholding methods in the context of iterative microwave imaging algorithms. Our test cases involve two closely located cylindrical targets of high dielectric contrast with respect to the background in a microwave tomography setup simulated in CST. We apply a distorted Born iterative method (DBIM), and compare a two-step iterative shrinkage thresholding (TwIST) implementation with a conventional conjugate gradient least squares (CGLS) method as linear solvers at each DBIM iteration. Our results demonstrate that applying the TwIST approach can resolve the two closely-located targets much more accurately than the CGLS under identical settings in the DBIM algorithm.",

keywords = "adaptive thresholding, CGLS, DBIM, microwave imaging, TwIST",

author = "Ziwen Guo and Ahsan, {Syed Naveed} and Olympia Karadima and John Sotiriou and Panagiotis Kosmas",

year = "2019",

language = "English",

booktitle = "13th European Conference on Antennas and Propagation, EuCAP 2019",

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TY - GEN

T1 - Resolution Capabilities of the DBIM-TwIST Algorithm in Microwave Imaging

AU - Guo, Ziwen

AU - Ahsan, Syed Naveed

AU - Karadima, Olympia

AU - Sotiriou, John

AU - Kosmas, Panagiotis

PY - 2019

Y1 - 2019

N2 - We investigate resolution capabilities of adaptive thresholding methods in the context of iterative microwave imaging algorithms. Our test cases involve two closely located cylindrical targets of high dielectric contrast with respect to the background in a microwave tomography setup simulated in CST. We apply a distorted Born iterative method (DBIM), and compare a two-step iterative shrinkage thresholding (TwIST) implementation with a conventional conjugate gradient least squares (CGLS) method as linear solvers at each DBIM iteration. Our results demonstrate that applying the TwIST approach can resolve the two closely-located targets much more accurately than the CGLS under identical settings in the DBIM algorithm.

AB - We investigate resolution capabilities of adaptive thresholding methods in the context of iterative microwave imaging algorithms. Our test cases involve two closely located cylindrical targets of high dielectric contrast with respect to the background in a microwave tomography setup simulated in CST. We apply a distorted Born iterative method (DBIM), and compare a two-step iterative shrinkage thresholding (TwIST) implementation with a conventional conjugate gradient least squares (CGLS) method as linear solvers at each DBIM iteration. Our results demonstrate that applying the TwIST approach can resolve the two closely-located targets much more accurately than the CGLS under identical settings in the DBIM algorithm.

KW - adaptive thresholding

KW - CGLS

KW - DBIM

KW - microwave imaging

KW - TwIST

UR - http://www.scopus.com/inward/record.url?scp=85068436243&partnerID=8YFLogxK

M3 - Conference contribution

BT - 13th European Conference on Antennas and Propagation, EuCAP 2019

ER -

Resolution Capabilities of the DBIM-TwIST Algorithm in Microwave Imaging

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Keywords

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