Title :
Microwave imaging via space-time beamforming for early detection of breast cancer
Author :
Bond, Essex J. ; Li, Xu ; Hagness, Susan C. ; Van Veen, Barry D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Wisconsin, Madison, WI, USA
Abstract :
A method of microwave imaging via space-time (MIST) beamforming is proposed for detecting early-stage breast cancer. An array of antennas is located near the surface of the breast and an ultrawideband (UWB) signal is transmitted sequentially from each antenna. The received backscattered signals are passed through a space-time beamformer that is designed to image backscattered signal energy as a function of location. The beamformer spatially focuses the backscattered signals to discriminate against clutter and noise while compensating for frequency-dependent propagation effects. As a consequence of the significant dielectric-properties contrast between normal and malignant tissue, localized regions of large backscatter energy levels in the image correspond to malignant tumors. A data-adaptive algorithm for removing artifacts in the received signals due to backscatter from the skin-breast interface is also presented. The effectiveness of these algorithms is demonstrated using a variety of numerical breast phantoms based on anatomically realistic MRI-derived FDTD models of the breast. Very small (2 mm) malignant tumors embedded within the complex fibroglandular structure of the breast are easily detected above the background clutter. The MIST approach is shown to offer significant improvement in performance over previous UWB microwave breast cancer detection techniques based on simpler focusing schemes.
Keywords :
adaptive signal processing; backscatter; biological tissues; biomedical MRI; cancer; clutter; dielectric properties; finite difference time-domain analysis; medical image processing; microwave imaging; tumours; MRI-derived FDTD models; UWB microwave breast cancer detection; UWB signal; antenna array; artifacts removal; background clutter; backscatter energy levels; clutter discrimination; data-adaptive algorithm; dielectric-properties; early-stage breast cancer detection; fibroglandular structure; focusing schemes; frequency-dependent propagation effects; image backscattered signal energy; localized regions; malignant tissue; malignant tumors; microwave imaging; noise discrimination; normal tissue; numerical breast phantoms; received backscattered signals; received signals; skin-breast interface; space-time beamforming; ultrawideband signal; Antenna arrays; Array signal processing; Backscatter; Breast cancer; Cancer detection; Malignant tumors; Microwave imaging; Microwave theory and techniques; Transmitting antennas; Ultra wideband antennas;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
DOI :
10.1109/TAP.2003.815446