Cancer Detection in Highly Dense Breasts Using Coherently Focused Time-Reversal Microwave Imaging

被引:30
作者
Hossain, Md. Delwar [1 ]
Mohan, Ananda Sanagavarapu [1 ]
机构
[1] Univ Technol Sydney, Ctr Hlth Technol, Fac Engn & Informat Technol, Sydney, NSW 2007, Australia
来源
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING | 2017年 / 3卷 / 04期
基金
澳大利亚研究理事会;
关键词
Beamspace; breast cancer; coherent focusing; DORT; entropy; green's function; highly dense breasts; maximum likelihood; microwave imaging; multiple tumors; time of arrival; time reversal; TR-MUSIC; DIELECTRIC-PROPERTIES; ANTENNA-ARRAY; PULSE DESIGN; RADAR; DOMAIN; LOCALIZATION; SYSTEM; TUMOR; FREQUENCIES; SCATTERING;
D O I
10.1109/TCI.2017.2737947
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Detection of tumors in highly dense breasts is a critical but challenging issue for early-stage breast cancer detection. We present the application of coherent focusing for time-reversal (TR) microwave imaging in beamspace for the detection and localization of multiple tumors in highly dense 3-D breast phantoms. We propose a novel coherent beamspace time reversal maximum likelihood (C-B-TR-ML) technique to obtain accurate tumor locations with reduced computational burden. To compare the performance, the coherent beamspace processing is also extended for conventional decomposition of the TR operator (DORT) and TR-MUSIC algorithms. A novel hybrid technique involving time of arrival and entropy is also proposed for early-time artifact removal as well as for estimating the Green's function of an equivalent virtual medium required for the TR operation. Finite-difference time-domain computations on anatomically realistic 3-D numerical breast phantoms are used to obtain the backscattered data. The results demonstrate the superior capabilities of the proposed C-B-TR-ML microwave-imaging technique in detecting and localizing multiple tumors embedded inside highly dense breast phantoms.
引用
收藏
页码:928 / 939
页数:12
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