Application of Two-Dimensional Discrete Dipole Approximation in Simulating Electric Field of a Microwave Breast Imaging System.

Computational electromagnetics discrete dipole approximation forward solvers microwave imaging tomography

Journal

IEEE journal of electromagnetics, RF and microwaves in medicine and biology
ISSN: 2469-7257
Titre abrégé: IEEE J Electromagn RF Microw Med Biol
Pays: United States
ID NLM: 101733288

Informations de publication

Date de publication:
Jun 2019
Historique:
entrez: 28 5 2019
pubmed: 28 5 2019
medline: 28 5 2019
Statut: ppublish

Résumé

The two-dimensional electric field distribution of the microwave imaging system is numerically simulated for a simplified breast tumour model. The proposed two-dimensional discrete dipole approximation (DDA) has the potential to improve computational speed compared to other numerical methods while retaining comparable accuracy. We have modeled the field distributions in COMSOL Multiphysics as baseline results to benchmark the DDA simulations. We have also investigated the adequate sampling size and the effect of inclusion size and property contrast on solution accuracy. In this way, we can utilize the 2D DDA as an alternative, fast and reliable forward solver for microwave tomography. From a mathematical perspective, the derivation of the 2D DDA and its application to microwave imaging is new and not previously implemented. The simulation results and the measurements show that the 2D DDA is a well-grounded forward solver for the specified microwave breast imaging system.

Identifiants

pubmed: 31131336
doi: 10.1109/JERM.2018.2882689
pmc: PMC6530794
mid: NIHMS998773
doi:

Types de publication

Journal Article

Langues

eng

Pagination

80-87

Subventions

Organisme : NCI NIH HHS
ID : R01 CA191227
Pays : United States

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Auteurs

Samar Hosseinzadegan (S)

Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden.

Andreas Fhager (A)

Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden.

Mikael Persson (M)

Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden.

Paul M Meaney (PM)

Thayer School of Engineering at Dartmouth College, Hanover, NH 03755 USA and the Chalmers University of Technology, Gothenburg, Sweden.

Classifications MeSH