Quantitative microwave imaging with a 2.45 GHz planar microwave camera
Résumé
This paper presents microwave tomographic reconstructions of the complex permittivity of lossy dielectric objects immersed in water from experimental multiview near-field data obtained with a 2.35-GHz planar active microwave camera. An iterative reconstruction algorithm based on the Levenberg-Marquardt method was used to solve the nonlinear matrix equation which results when applying a moment method to the electric field integral representation. The effects of uncertainties in experimental parameters such as the exterior medium complex permittivity the imaging system geometry and the incident field at the object location are illustrated by means of reconstructions from synthetic data. It appears that the uncertainties in the incident field have the strongest impact on the reconstructions. A receiver calibration procedure has been implemented and some ways: to access to the incident field at the object location have been assessed.
Mots clés
- Algorithms
- medical image processing
- permittivity measurement
- inverse problems
- quantitative microwave imaging
- 2.45-GHz planar microwave camera
- microwave tomographic reconstructions
- complex permittivity
- lossy dielectric objects
- experimental multiview near-field data
- Microwaves
- Calibration
- iterative reconstruction algorithm
- Reconstruction algorithms
- Iterative methods
- Tomography
- Uncertainty
- Integral equations
- Dielectric losses
- Permittivity
- Image reconstruction
- Cameras
- Microwave imaging
- 2.45 GHz
- medical diagnostic imaging
- Levenberg-Marquardt method