Reconfigurable Software Defined Radar for medical imaging

A low-cost, portable and reconfigurable Software Defined Radar (SDRadar) based is proposed for medical imaging. The proposed system can replace the commercial VNA, which is currently used in experimental microwave imaging systems. The proposed SDRadar has the capability to produce synthetic stepped-frequency continuous wave, frequency modulated continuous waveforms (FMCW) and pseudo random noise waveforms that can be used for non-linear and time variant medium. This will lead to a vital opportunity to improve the time, resolutions and accuracy in microwave-based medical imaging. Furthermore, the proposed device with hybrid waveforms can be designed for better imaging of complex human tissues.

[1]  D. Ireland,et al.  Modeling Human Head at Microwave Frequencies Using Optimized Debye Models and FDTD Method , 2013, IEEE Transactions on Antennas and Propagation.

[2]  Andrea Bevilacqua,et al.  An Integrated Microwave Imaging Radar With Planar Antennas for Breast Cancer Detection , 2013, IEEE Transactions on Microwave Theory and Techniques.

[3]  B.D. Van Veen,et al.  An overview of ultra-wideband microwave imaging via space-time beamforming for early-stage breast-cancer detection , 2005, IEEE Antennas and Propagation Magazine.

[4]  D Garmatyuk,et al.  Multifunctional Software-Defined Radar Sensor and Data Communication System , 2011, IEEE Sensors Journal.

[5]  Amin M. Abbosh,et al.  Synthetic Bandwidth Radar for Ultra-Wideband Microwave Imaging Systems , 2014, IEEE Transactions on Antennas and Propagation.

[6]  S Crozier,et al.  Strain Imaging of the Breast by Compression Microwave Imaging , 2010, IEEE Antennas and Wireless Propagation Letters.

[7]  Amin M. Abbosh,et al.  Microwave System for Head Imaging , 2014, IEEE Transactions on Instrumentation and Measurement.

[8]  Amin M. Abbosh,et al.  Microwave imaging for brain stroke detection using Born iterative method , 2013 .