title: Microwave radar and microwave-induced thermoacoustics: dual-modality approach for breast cancer detection.
abstract: Microwave radar and microwave-induced thermoacoustics, recently proposed as promising breast cancer detection techniques, each have shortcomings that reduce detection performance. Making the assumption that the measurement noises experienced when applying these two techniques are independent, we propose a methodology to process the input signals jointly based on a hypothesis testing framework. We present two test statistics and derive their distributions to set the thresholds. The methodology is evaluated on numerically simulated signals acquired from 2-D numerical breast models using finite-difference time-domain method. Our results show that the proposed dual-modality approach can give a significant improvement in detection performance.
authors.affiliation: Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada. evgeny.kirshin@gmail.com
authors.forename: Evgeny
authors.initials: E
authors.lastname: Kirshin
authors.forename: Borislav
authors.initials: B
authors.lastname: Oreshkin
authors.forename: Guangran Kevin
authors.initials: GK
authors.lastname: Zhu
authors.forename: Milica
authors.initials: M
authors.lastname: Popović
authors.forename: Mark
authors.initials: M
authors.lastname: Coates
mesh_terms: D001943:Breast Neoplasms / Q000175:diagnosis* / Q000473:pathology*; D003198:Computer Simulation; D003952:Diagnostic Imaging / Q000379:methods*; D005260:Female; D006801:Humans; D008872:Microwaves; D008954:Models, Biological; D012815:Signal Processing, Computer-Assisted; D013696:Temperature