title: Multistatic adaptive microwave imaging for early breast cancer detection.
abstract: We propose a new multistatic adaptive microwave imaging (MAMI) method for early breast cancer detection. MAMI is a two-stage robust Capon beamforming (RCB) based image formation algorithm. MAMI exhibits higher resolution, lower sidelobes, and better noise and interference rejection capabilities than the existing approaches. The effectiveness of using MAMI for breast cancer detection is demonstrated via a simulated 3-D breast model and several numerical examples.
authors.affiliation: Department of Electrical and Computer Engineering, University of Florida, Gainesville 32611, USA. xieyao@dsp.ufl.edu
authors.forename: Yao
authors.initials: Y
authors.lastname: Xie
authors.forename: Bin
authors.initials: B
authors.lastname: Guo
authors.forename: Luzhou
authors.initials: L
authors.lastname: Xu
authors.forename: Jian
authors.initials: J
authors.lastname: Li
authors.forename: Petre
authors.initials: P
authors.lastname: Stoica
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000503:physiopathology*; D003198:Computer Simulation; D020342:Finite Element Analysis; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008872:Microwaves; D008954:Models, Biological; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014054:Tomography / Q000295:instrumentation / Q000379:methods*