Microwave Detection of Brain Injuries by Means of a Hybrid Imaging Method
Brain injuries represent a critical situation, where both detection and monitoring should be quick and accurate at the same time. Microwave techniques are thus gaining attention in the diagnostic process of these diseases. However, the detection of inhomogeneities and variations inside the human bra...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Open Journal of Antennas and Propagation |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9197700/ |
| _version_ | 1828926304247873536 |
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| author | Alessandro Fedeli Claudio Estatico Matteo Pastorino Andrea Randazzo |
| author_facet | Alessandro Fedeli Claudio Estatico Matteo Pastorino Andrea Randazzo |
| author_sort | Alessandro Fedeli |
| collection | DOAJ |
| description | Brain injuries represent a critical situation, where both detection and monitoring should be quick and accurate at the same time. Microwave techniques are thus gaining attention in the diagnostic process of these diseases. However, the detection of inhomogeneities and variations inside the human brain by using electromagnetic fields at microwave frequencies is a very challenging inverse problem. An innovative hybrid microwave imaging method is introduced in this contribution, which combines the benefits of a fast qualitative processing technique with an accurate tomographic reconstruction of the dielectric properties of the human head. This method has been successfully applied to obtain microwave images from both synthetic data and laboratory measurements. Numerical simulations involve three-dimensional realistic models of stroke-affected heads, whereas simplified cylindrical phantoms have been exploited for the experimental validation of the approach. In both conditions, the proposed technique yields promising results, which may be considered a preliminary step towards the realization of a clinical imaging prototype. |
| first_indexed | 2024-12-13T23:30:02Z |
| format | Article |
| id | doaj.art-9b78135c9a8440f3bc7d020fd736698d |
| institution | Directory Open Access Journal |
| issn | 2637-6431 |
| language | English |
| last_indexed | 2024-12-13T23:30:02Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Antennas and Propagation |
| spelling | doaj.art-9b78135c9a8440f3bc7d020fd736698d2022-12-21T23:27:26ZengIEEEIEEE Open Journal of Antennas and Propagation2637-64312020-01-01151352310.1109/OJAP.2020.30242769197700Microwave Detection of Brain Injuries by Means of a Hybrid Imaging MethodAlessandro Fedeli0https://orcid.org/0000-0001-6636-1448Claudio Estatico1https://orcid.org/0000-0003-0948-6687Matteo Pastorino2https://orcid.org/0000-0003-4926-7358Andrea Randazzo3https://orcid.org/0000-0001-5291-462XDepartment of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, ItalyDepartment of Mathematics (DIMA), University of Genoa, Genoa, ItalyDepartment of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, ItalyDepartment of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, ItalyBrain injuries represent a critical situation, where both detection and monitoring should be quick and accurate at the same time. Microwave techniques are thus gaining attention in the diagnostic process of these diseases. However, the detection of inhomogeneities and variations inside the human brain by using electromagnetic fields at microwave frequencies is a very challenging inverse problem. An innovative hybrid microwave imaging method is introduced in this contribution, which combines the benefits of a fast qualitative processing technique with an accurate tomographic reconstruction of the dielectric properties of the human head. This method has been successfully applied to obtain microwave images from both synthetic data and laboratory measurements. Numerical simulations involve three-dimensional realistic models of stroke-affected heads, whereas simplified cylindrical phantoms have been exploited for the experimental validation of the approach. In both conditions, the proposed technique yields promising results, which may be considered a preliminary step towards the realization of a clinical imaging prototype.https://ieeexplore.ieee.org/document/9197700/Microwave imaginginverse scatteringbrain strokehybrid methods |
| spellingShingle | Alessandro Fedeli Claudio Estatico Matteo Pastorino Andrea Randazzo Microwave Detection of Brain Injuries by Means of a Hybrid Imaging Method IEEE Open Journal of Antennas and Propagation Microwave imaging inverse scattering brain stroke hybrid methods |
| title | Microwave Detection of Brain Injuries by Means of a Hybrid Imaging Method |
| title_full | Microwave Detection of Brain Injuries by Means of a Hybrid Imaging Method |
| title_fullStr | Microwave Detection of Brain Injuries by Means of a Hybrid Imaging Method |
| title_full_unstemmed | Microwave Detection of Brain Injuries by Means of a Hybrid Imaging Method |
| title_short | Microwave Detection of Brain Injuries by Means of a Hybrid Imaging Method |
| title_sort | microwave detection of brain injuries by means of a hybrid imaging method |
| topic | Microwave imaging inverse scattering brain stroke hybrid methods |
| url | https://ieeexplore.ieee.org/document/9197700/ |
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