JOURNAL ARTICLE

Three-dimensional quantitative microwave imaging of realistic numerical breast phantoms using Huber regularization

Abstract

Breast tumor detection with microwaves is based on the difference in dielectric properties between normal and malignant tissues. The complex permittivity reconstruction of inhomogeneous dielectric biological tissues from microwave scattering is a nonlinear, ill-posed inverse problem. We proposed to use the Huber regularization in our previous work where some preliminary results for piecewise constant objects were shown. In this paper, we employ the Huber function as regularization in the even more challenging 3D piecewise continuous case of a realistic numerical breast phantom. The resulting reconstructions of complex permittivity profiles indicate potential for biomedical imaging.

Keywords:
Microwave imaging Imaging phantom Regularization (linguistics) Permittivity Inverse problem Piecewise Microwave Dielectric Inverse scattering problem Nonlinear system Iterative reconstruction Scattering Breast imaging Computer science Physics Algorithm Mathematical analysis Mathematics Optics Mammography Artificial intelligence Breast cancer Optoelectronics Medicine

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19
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Citation History

Topics

Microwave Imaging and Scattering Analysis
Physical Sciences →  Engineering →  Biomedical Engineering
Ultrasonics and Acoustic Wave Propagation
Physical Sciences →  Engineering →  Mechanics of Materials
Numerical methods in inverse problems
Physical Sciences →  Mathematics →  Mathematical Physics
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