Comparison of radar-based microwave imaging algorithms applied to experimental breast phantoms
| Autor: | Benjamin R. Lavoie, Emily Porter, Elise C. Fear, M. Olavini, Martin O'Halloran, Muhammad Adnan Elahi, Edward Jones |
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| Rok vydání: | 2017 |
| Předmět: |
Artifact (error)
Signal processing Image quality Noise (signal processing) Computer science 0206 medical engineering ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications 02 engineering and technology 020601 biomedical engineering law.invention Microwave imaging law Radar imaging 0202 electrical engineering electronic engineering information engineering Clutter Radar Algorithm |
| Zdroj: | 2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS). |
| DOI: | 10.23919/ursigass.2017.8105082 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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