DocumentCode :
3128481
Title :
Hybrid Microwave Tomography Technique for Breast Cancer Imaging
Author :
Sabouni, Abas ; Flores-Tapia, Daniel ; Noghanian, Sima ; Thomas, Gabriel ; Pistorius, Stephen
Author_Institution :
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man.
fYear :
2006
fDate :
Aug. 30 2006-Sept. 3 2006
Firstpage :
4273
Lastpage :
4276
Abstract :
This paper addresses a two-dimensional inverse scattering method with a combination of tomography and radar methods for breast cancer detection. In order to rapidly construct high resolution images displaying the location, size, permittivity and conductivity of malignant tumors inside the body, the collected reflection from the scattered fields present in the scan area is segmented and their associated dielectric property maps are calculated. The dielectric profiles are obtained by using a technique that combines frequency domain finite difference time domain (FD)2TD analysis with genetic algorithm (GA) optimization. The applications of the proposed method can vary from medical imaging to nondestructive testing of materials and structures. The proposed technique yielded promising results when applied to simulated data
Keywords :
bioelectric phenomena; biomedical imaging; cancer; electrical conductivity; finite difference time-domain analysis; frequency-domain analysis; genetic algorithms; gynaecology; image reconstruction; image segmentation; medical image processing; microwave imaging; permittivity; radar applications; tomography; tumours; breast cancer imaging; conductivity; dielectric property maps; frequency domain finite difference time domain analysis; genetic algorithm optimization; high-resolution images; hybrid microwave tomography technique; image reconstruction; image segmentation; malignant tumors; microwave radar method; permittivity; two-dimensional inverse scattering method; Breast cancer; Dielectrics; High-resolution imaging; Inverse problems; Microwave imaging; Microwave theory and techniques; Radar detection; Radar imaging; Radar scattering; Tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
ISSN :
1557-170X
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2006.260615
Filename :
4462745
Link To Document :
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