The robustness of HGA/FDTD in the presence of noise for microwave breast cancer detection

Author

Sabouni, Abas ; Noghanian, Sima

Author_Institution

Univ. of Manitoba, Winnipeg, MB, Canada

fYear

2009

fDate

1-5 June 2009

Firstpage

1

Lastpage

4

Abstract

In this paper, the robustness of the microwave tomography method for breast cancer imaging based on finite difference time domain (FDTD) and hybrid genetic algorithm (HGA) for different levels of noise is investigated. Results based on the proposed method, using MRI data from an actual patient, are presented. These results indicate the algorithm performs well in the case of simulation measurements contaminated by various levels of additive white Gaussian noise (up to 15% of signal strength). Noise levels above this value inhibit the efficacy of the method.

Keywords

AWGN; biomedical MRI; cancer; finite difference time-domain analysis; genetic algorithms; mammography; microwave imaging; tumours; FDTD; HGA; MRI data; additive white Gaussian noise; finite difference time domain; hybrid genetic algorithm; microwave breast cancer detection; microwave tomography method; Breast cancer; Cancer detection; Finite difference methods; Genetic algorithms; Microwave imaging; Microwave theory and techniques; Noise level; Noise robustness; Time domain analysis; Tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 2009. APSURSI '09. IEEE

Conference_Location

Charleston, SC

ISSN

1522-3965

Print_ISBN

978-1-4244-3647-7

Type

conf

DOI

10.1109/APS.2009.5171906

Filename

5171906