This paper reports the results of the application of a microwave imaging method developed in Banach spaces to a model of human head in presence of a hemorrhagic brain stroke. The approach is based on the integral equations of the inverse scattering problem. A Gauss-Newton scheme is adopted as a solving procedure. Being developed in Banach spaces, the method turns out to be quite efficient in reducing the over-smoothing effects usually associated to Hilbert-space reconstructions. Numerical simulations are reported involving a realistic model of human head
Inverse problems arising in microwave imaging suffer from high ill-posedness. As it is well known, i...
A numerical assessment concerning the reconstruction capabilities of a recently proposed imaging mea...
Microwave imaging systems are acquiring an ever growing importance. In order to tackle the nonlinear...
An approach for microwave imaging of hemorrhagic brain strokes is proposed in this paper. The develo...
A conjugate-gradient-based regularization technique in P Banach spaces, in conjunction with an inexa...
This paper presents a tomographic inverse scattering algorithm based on an iterative regularization ...
This paper concerns the problem of data inversion in microwave imaging for biomedical applications. ...
In this paper, a numerical study devoted to evaluate the application of a microwave imaging method f...
Several research teams around the world are currently involved in developing imaging systems, with d...
Preliminary numerical results concerning the application of a Gauss-Newton method for diagnostic pur...
This paper reports some recent advancements of the SIEM Unit of Genoa in the development of a microw...
A method for microwave imaging of dielectric targets is proposed. It is based on a tomographic appro...
The development of regularization algorithms in the framework of Banach spaces is an emerging scient...
In this study, an inverse scattering approach is investigated for the detection and imaging of an ab...
Inverse problems arising in microwave imaging suffer from high ill-posedness. As it is well known, i...
Inverse problems arising in microwave imaging suffer from high ill-posedness. As it is well known, i...
A numerical assessment concerning the reconstruction capabilities of a recently proposed imaging mea...
Microwave imaging systems are acquiring an ever growing importance. In order to tackle the nonlinear...
An approach for microwave imaging of hemorrhagic brain strokes is proposed in this paper. The develo...
A conjugate-gradient-based regularization technique in P Banach spaces, in conjunction with an inexa...
This paper presents a tomographic inverse scattering algorithm based on an iterative regularization ...
This paper concerns the problem of data inversion in microwave imaging for biomedical applications. ...
In this paper, a numerical study devoted to evaluate the application of a microwave imaging method f...
Several research teams around the world are currently involved in developing imaging systems, with d...
Preliminary numerical results concerning the application of a Gauss-Newton method for diagnostic pur...
This paper reports some recent advancements of the SIEM Unit of Genoa in the development of a microw...
A method for microwave imaging of dielectric targets is proposed. It is based on a tomographic appro...
The development of regularization algorithms in the framework of Banach spaces is an emerging scient...
In this study, an inverse scattering approach is investigated for the detection and imaging of an ab...
Inverse problems arising in microwave imaging suffer from high ill-posedness. As it is well known, i...
Inverse problems arising in microwave imaging suffer from high ill-posedness. As it is well known, i...
A numerical assessment concerning the reconstruction capabilities of a recently proposed imaging mea...
Microwave imaging systems are acquiring an ever growing importance. In order to tackle the nonlinear...