TY - JOUR
T1 - A nonlinear microwave breast cancer imaging approach through realistic body-breast modeling
AU - Gürbürbuz, Tolga Ulaş
AU - Aslanyuz, Tolga Ulaş
AU - Aslanyürek, Birol
AU - Yapar, Ali
AU - Şahintürk, Hülya
AU - Akduman, Ibrahim
PY - 2014/5
Y1 - 2014/5
N2 - 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.
AB - 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.
KW - Breast cancer imaging
KW - buried object approach
KW - Green's function
KW - microwave tomography
KW - nonlinear inverse scattering
UR - http://www.scopus.com/inward/record.url?scp=84900564042&partnerID=8YFLogxK
U2 - 10.1109/TAP.2014.2307303
DO - 10.1109/TAP.2014.2307303
M3 - Article
AN - SCOPUS:84900564042
SN - 0018-926X
VL - 62
SP - 2596
EP - 2605
JO - IEEE Transactions on Antennas and Propagation
JF - IEEE Transactions on Antennas and Propagation
IS - 5
M1 - 6746021
ER -