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.
| Original language | English (Ireland) |
|---|---|
| Title of host publication | 2017 XXXIIND GENERAL ASSEMBLY AND SCIENTIFIC SYMPOSIUM OF THE INTERNATIONAL UNION OF RADIO SCIENCE (URSI GASS) |
| Publisher | IEEE |
| Publication status | Published - 1 Jan 2017 |
Authors (Note for portal: view the doc link for the full list of authors)
- Authors
- Elahi, MA;Lavoie, BR;Porter, E;Glavin, M;Jones, E;Fear, EC;O'Halloran, M