Multistatic Adaptive Microwave Imaging for Early Breast Cancer Detection

Author

Yao Xie ; Bin Guo ; Luzhou Xu ; Jian Li ; Stoica, P.

Author_Institution

Dept. of Electr. & Comput. Eng., Florida Univ., Gainesville, FL

Volume

53

Issue

8

fYear

2006

Firstpage

1647

Lastpage

1657

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

Keywords

biological organs; cancer; medical image processing; microwave imaging; early breast cancer detection; high image resolution; image formation algorithm; interference rejection; low sidelobes; multistatic adaptive microwave imaging; noise rejection; two-stage robust Capon beamforming; Antenna arrays; Breast cancer; Breast neoplasms; Cancer detection; Electromagnetic heating; Image reconstruction; Microwave imaging; Microwave theory and techniques; Optical imaging; Transmitting antennas; Breast cancer detection; microwave imaging; multistatic; robust capon beamforming; Algorithms; Breast Neoplasms; Computer Simulation; Finite Element Analysis; Humans; Image Interpretation, Computer-Assisted; Microwaves; Models, Biological; Phantoms, Imaging; Reproducibility of Results; Sensitivity and Specificity; Tomography;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2006.878058

Filename

1658159