An Analysis of the Assumptions Inherent to Near-Field Beamforming for Biomedical Applications
| Autor: | Elise C. Fear, Benjamin R. Lavoie, Charlotte Curtis |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Synthetic aperture radar
Beamforming Computer science business.industry Physics::Medical Physics 0206 medical engineering 020206 networking & telecommunications 02 engineering and technology 020601 biomedical engineering Field (computer science) 3. Good health Computer Science Applications Data modeling Computational Mathematics Operator (computer programming) Microwave imaging Radar imaging Signal Processing 0202 electrical engineering electronic engineering information engineering Computer vision Artificial intelligence business Algorithm Preclinical imaging |
| Zdroj: | IEEE Transactions on Computational Imaging. 3:953-965 |
| ISSN: | 2334-0118 2573-0436 |
| DOI: | 10.1109/tci.2017.2756022 |
| Popis: | Microwave imaging for biomedical applications is a growing field that shows promise in early patient studies. Interpretation of preclinical imaging results is difficult, in part due to an incomplete understanding of the imaging operator. In this paper, near-field beamforming is demonstrated to be analogous to synthetic aperture radar, and both imaging methods are shown to depend on several simplifying assumptions. The influence of these assumptions is analyzed using analytical and simulated models, and the results are confirmed in an experimental setup. These observations are further explored in application to simulations of realistic breast models as well as patient data. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|