Comparison of radar-based microwave imaging algorithms applied to experimental breast phantoms
Elahi, Muhammad Adnan Lavoie, B. R. Porter, Emily Glavin, Martin Jones, E. Fear, E. C. O'Halloran, Martin
Elahi, Muhammad Adnan
Lavoie, B. R.
Porter, Emily
Glavin, Martin
Jones, E.
Fear, E. C.
O'Halloran, Martin
Loading...
Repository DOI
Publication Date
2017-08-19
Type
Conference Paper
Downloads
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.
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.
Publisher
Union Radio-Scientifique Internationale
Publisher DOI
Rights
Attribution-NonCommercial-NoDerivs 3.0 Ireland