An inverse scattering problem estimates the distribution of key physical parameters such as dielectric constant and conductivity (electromagnetic problem) or compressibility and density (acoustic problem), based on the measured samples of the scattered field. It is usually formulated using the volume integral equations, which after proper discretization turns out to be ill-posed, ill-conditioned, and often under-determined.
Nonlinear inverse scattering algorithms can be used for microwave imaging, diffraction tomography and buried object detection. Within MiXIL, we apply the nonlinear inverse scattering technique for the detection of breast tumors. Detecting tumors at an early stage is the key in increasing the survival rate of breast cancer patients. Compared with other imaging methods for cancer screening and diagnosis, microwave imaging can be used without the risks inherent in ionizing radiation and with relatively low cost.
In previous work, we have presented nonlinear inverse scattering algorithms with multi-parameter optimization for microwave imaging, and we are currently developing a customized GPU-accelerated algorithm to address the computationally intense nature of reconstructing high resolution breast images.
High resolution reconstruction of a realistic breast phantom using a GPU accelerated inverse scattering algorithm
Publications
- P. Shah, and M. Moghaddam, “A Fast Level Set Method for Multi-Material Recovery in Microwave Imaging,” IEEE Transactions on Antennas and Propagation, March 2018 (early access).
- G. Chen, J. Stang, and M. Moghaddam, “Numerical Vector Green’s Function for S-parameter Measurement with Waveport Excitation,” IEEE Transactions on Antennas and Propagation, Vol.65, no. 7, pp. 3645-3653, July 2017.
- G. Chen, J. Stang, and M. Moghaddam, “A conformal FDTD method with accurate waveport excitation and S-parameter extraction,” IEEE Transactions on Antennas and Propagation, vol. 64, no. 10, pp. 4504-4509, Oct. 2016.
- P. Shah, U. Khankhoje, and M. Moghaddam, “Inverse scattering using a joint L1-L2 based regularization,” IEEE Transactions on Antennas and Propagation, vol. 64, no. 4, pp. 1373-1384, April 2016.
- J. Stang, M. Haynes, M. Moghaddam, “A Preclinical System Prototype for Focused Microwave Thermal Therapy of the Breast,” IEEE Trans on Biomedical Engineering,59(9):2431-8, Sep, 2012.
- M. Haynes, J. Stang, M. Moghaddam, “Microwave Breast Imaging System Prototype with Integrated Numerical Characterization,” IEEE International Journal of Biomedical Imaging, Volume 2012, Article ID 706365, 18 pages, doi: 10.1155/2012/706365.