DACHENA , Chiara

Microwave imaging is acquiring a growing importance in several biomedical applications, such as breast and brain stroke diagnosis and monitoring. In this work, a preliminary feasibility analysis concerning the application of such a technique to the monitoring of cervical myelopathy is reported. In particular, suitable working conditions are...

An inverse scattering method working at microwave frequencies for cervical diagnostics is proposed in this work. The aim is the diagnosis of cervical myelopathy, which is a disease that affects the first part of the spinal cord (between the C3 and C7 vertebra). A preliminary feasibility analysis oriented toward the development of an imaging...

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In this paper, a microwave imaging approach based on artificial neural networks (ANNs) for neck tumor detection is presented. The aim of this technique is to retrieve the geometric and dielectric properties of the neck to identify the possible presence of tumors, starting from scattered electric field data. A fully-connected neural network is...

In this letter, a microwave imaging strategy based on an artificial neural network (ANN) is applied, for the first time, to experimental data gathered from simplified neck phantoms. The ANN is used for solving the underlying inverse scattering problem, with the aim of retrieving the dielectric properties of the neck for monitoring and...

A microwave imaging approach based on artificial neural networks (ANNs) for the reconstruction of the properties of a cross section of the neck is proposed in this paper. The aim of this work is to retrieve the distribution maps of the neck dielectric properties starting from electromagnetic scattered fields. Possible applications include the...

A microwave imaging approach for the detection of neck tumors is proposed in this paper. Specifically, a preliminary artificial neural network (ANN) is adopted for the reconstruction of the properties of a cross section of the neck starting from scattered electric fields. To this end, realistic neck phantoms are developed to test the...

In this contribution, a microwave-based tomographic approach by means of a neural network technique is applied to the human neck. The aim is to retrieve the dielectric and geometric properties of a cross section of the neck to detect the possible presence of tumors. A fullyconnected neural network and a numerical model to create a neck phantom...

A preliminary experimental validation of a machine-learning technique for microwave imaging of the neck is reported in this paper. Specifically, a fully-connected neural network is used to retrieve the dielectric properties of a simplified neck phantom. The architecture of the network, e.g., number of layers and neurons in each layer, is...

The nondestructive characterization of cylindrical objects is needed in many fields, such as medical diagnostics, tree trunk inspection, or concrete column testing. In this study, the radar equation of Lambot et al. is combined with cylindrical Green's functions to fully model and invert ultra-wideband (UWB) ground-penetrating radar (GPR) data...

Magnetic biomaterials are multifunctional tools currently under investigation as theranostic platforms for biomedical applications. They can be implanted in bone tissue after bone cancer resection to perform local interstitial hyperthermia treatment. Given the requirements of high quality treatment, the hyperthermia therapy should be performed...

Magnetic biomaterials are multifunctional tools currently under investigation as theranostic platforms for biomedical applications. They can be implanted in bone tissue after bone cancer resection to perform local interstitial hyperthermia treatment. Given the requirements of high quality treatment, the hyperthermia therapy should be performed...