Title :
A Nonlinear Microwave Breast Cancer Imaging Approach Through Realistic Body–Breast Modeling
Author :
Gürbüz, Tolga Ulas ; Aslanyürek, Birol ; Yapar, Ali ; Şahintürk, Hulya ; Akduman, Ibrahim
Author_Institution :
Electr. & Electron. Eng. Fac., Istanbul Tech. Univ., Istanbul, Turkey
Abstract :
A nonlinear microwave tomography approach which suggests monitoring of differences inside the breast with respect to a reference breast model that adequately represents the healthy breast is presented. This approach simplifies the breast cancer imaging problem through realistic modeling of the body-breast configuration and does not require the imaging of the entire breast tissues. The tumor is considered as a buried object inside the breast which is assumed to be located on the interface of two-half spaces media composed of air or a coupling liquid and the chest wall or the base of the bed on which patient lies in a prone position. Then, the tumor, as well as the deviations of the actual breast from the breast model, is imaged by using the contrast source inversion method at a single frequency. The Green´s function of the inhomogeneous background required in the application of the inversion algorithm is obtained through the buried object approach and accelerated by an adaptation of the discrete complex images method. Through the simulations it has been shown that, the proposed modeling and nonlinear inversion algorithm is capable of reconstructing tumors as small as 4 mm in radius for 3-D scenarios.
Keywords :
Green´s function methods; biological tissues; biomedical imaging; cancer; microwave imaging; patient monitoring; tumours; Green´s function; breast tissues; buried object approach; chest wall; contrast source inversion method; coupling liquid; discrete complex images method; inhomogeneous background; nonlinear inversion algorithm; nonlinear microwave breast cancer imaging approach; nonlinear microwave tomography approach; realistic body-breast modeling; reference breast model; tumor; two-half spaces media; Breast; Green´s function methods; Mathematical model; Microwave imaging; Microwave theory and techniques; Tumors; Breast cancer imaging; Green´s function; buried object approach; microwave tomography; nonlinear inverse scattering;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
DOI :
10.1109/TAP.2014.2307303