Comparison of radar-based microwave imaging algorithms applied to experimental breast phantoms
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Date
2017-08-19Author
Elahi, Muhammad Adnan
Lavoie, B. R.
Porter, Emily
Glavin, Martin
Jones, E.
Fear, E. C.
O'Halloran, Martin
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Recommended Citation
Elahi, M. A., Lavoie, B. R., Porter, E., Glavin, M., Fear, E.C., & O’Halloran, M. (2017). Comparison of radar-based microwave imaging algorithms applied to experimental breast phantoms. Paper presented at the 32nd Internal Union of Radio Science General Assembly & Scientific Symposium (URSI 2017 GASS), Montreal, 19-26 August.
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Abstract
Microwave imaging is a promising imaging modality for
the early detection of breast cancer. The two most important
signal processing components of a radar-based microwave
imaging system are the early-time artifact removal and the
image reconstruction algorithm. Several image reconstruction
algorithms have been developed and their performance
has been evaluated in a number of studies. However, most
of these evaluation studies were either performed on numerical
breast phantoms or used an idealized artifact removal
algorithm. In this paper, a range of both data independent
and data adaptive imaging algorithms are evaluated using
experimental breast phantoms in combination with a realistic
artifact removal algorithm. The clutter rejection capabilities
of each algorithm are assessed in the presence of
experimental noise and residual artifacts using a range of
appropriate image quality metrics.