Title :
A frequency domain MVDR beamformer for UWB microwave breast cancer imaging in dispersive mediums
Author :
Arabshahi, Forough ; Monajemi, Sadaf ; Sheikhzadeh, H. ; Raahemifar, Kaamran ; Faraji-Dana, Reza
Author_Institution :
Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
Abstract :
In this paper a new imaging technique for early stage ultra wideband (UWB) microwave breast cancer detection is proposed. A circular array of antennas illuminates the breast tissue with UWB pulses and the backscattered signals are then passed through a beamformer designed and applied in frequency domain. This design enables the beamformer to compensate for non-integer delays and frequency dependent dispersion and at the same time increases the accuracy of the beamformer. It is shown that the proposed imaging algorithm reduces the computational cost and memory of the imaging system by decreasing the sampling rate to the Nyquist rate and significantly reducing the number of required matrix inversions. Furthermore, the proposed algorithm significantly improves the quality of the obtained image and on average the signal-to-clutter ratio of the image is increased by 89.29% compared to other cases.
Keywords :
biomedical imaging; cancer; frequency-domain analysis; microwave antenna arrays; microwave imaging; ultra wideband antennas; Nyquist rate; UWB microwave breast cancer imaging; UWB pulses; backscattered signals; circular antenna array; dispersive mediums; frequency dependent dispersion; frequency domain MVDR beamformer; noninteger delays; sampling rate; signal-to-clutter ratio; ultrawideband microwave imaging; Accuracy; Antennas; Delays; Imaging; Memory management; Robustness; Ultra wideband technology; Beamforming; Breast cancer detection; MVDR beamformer; UWB microwave imaging;
Conference_Titel :
Signal Processing and Information Technology(ISSPIT), 2013 IEEE International Symposium on
Conference_Location :
Athens
DOI :
10.1109/ISSPIT.2013.6781908