Title :
Detection using microwaves and self-adjoint sensitivity analysis
Author :
Liu, Li ; Trehan, Aastha ; Nikolova, Natalia K.
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
Abstract :
A novel general formulation of the response sensitivity analysis has been proposed recently. This sensitivity-analysis method has enabled the development of a conceptually new detection algorithm. The performance of this algorithm was tested on a realistic breast-tumour detection problem through ultra-wideband time-domain simulations. The detection relies on images obtained from the response derivatives with respect to the voxel permittivities and conductivities in the modelled “background” medium, which is a close approximation of the healthy (or normal) breast tissue. Abnormal regions in the object under test are successfully detected and localized after increasing sufficiently the number of transmission/reception points.
Keywords :
biological organs; biomedical imaging; microwave imaging; sensitivity analysis; tumours; abnormal region; close approximation; healthy breast tissue; realistic breast tumour detection problem; response derivative; response sensitivity analysis; self adjoint sensitivity analysis; ultra wideband time domain simulation; voxel conductivity; voxel permittivity; Breast; Cancer; Mathematical model; Numerical models; Sensitivity; Solid modeling; Tumors;
Conference_Titel :
Electromagnetic Theory (EMTS), 2010 URSI International Symposium on
Conference_Location :
Berlin
Print_ISBN :
978-1-4244-5155-5
Electronic_ISBN :
978-1-4244-5154-8
DOI :
10.1109/URSI-EMTS.2010.5637065