Miranda, Vincenzo (2025) Design of High-Permittivity Materials for High-Field Magnetic Resonance Imaging. [Tesi di dottorato]
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| Tipologia del documento: | Tesi di dottorato |
|---|---|
| Lingua: | English |
| Titolo: | Design of High-Permittivity Materials for High-Field Magnetic Resonance Imaging |
| Autori: | Autore Email Miranda, Vincenzo vincenzo.miranda@unina.it |
| Data: | 11 Dicembre 2025 |
| Numero di pagine: | 178 |
| Istituzione: | Università degli Studi di Napoli Federico II |
| Dipartimento: | Ingegneria Elettrica e delle Tecnologie dell'Informazione |
| Dottorato: | Information technology and electrical engineering |
| Ciclo di dottorato: | 38 |
| Coordinatore del Corso di dottorato: | nome email Russo, Stefano sterusso@unina.it |
| Tutor: | nome email Ruello, Giuseppe [non definito] |
| Data: | 11 Dicembre 2025 |
| Numero di pagine: | 178 |
| Parole chiave: | High-Field MRI, RF modeling, EM scattering, High permittivity materials |
| Settori scientifico-disciplinari del MIUR: | Area 09 - Ingegneria industriale e dell'informazione > ING-INF/02 - Campi elettromagnetici |
| Informazioni aggiuntive: | CICLO DI EFFETTIVA APPARTENENZA 38 |
| Depositato il: | 11 Dic 2025 22:02 |
| Ultima modifica: | 12 Ago 2026 05:37 |
| URI: | https://www.fedoa.unina.it/id/eprint/15965 |
Abstract
The aim of this work is to advance the understanding and design of High-Permittivity Materials (HPMs) for high-field Magnetic Resonance Imaging (MRI). When positioned between the patient and the radiofrequency (RF) antenna, these materials can effectively mitigate field inhomogeneities and enhance the signal-to-noise ratio (SNR), thereby addressing key challenges in high-field imaging. However, a comprehensive physical explanation of the observed improvements remains elusive, and the optimization of specific applications often relies on time-consuming numerical simulations based on empirical parameters. Addressing these limitations constitutes the main focus of the present study. The research adopts a multidisciplinary approach combining theoretical modelling, numerical validation, and experimental verification. A novel analytical scattering model based on Mie theory was developed for canonical geometries, introducing scalar parameters such as impedance and reflection coefficient to describe the interaction between HPMs and electromagnetic fields in biological tissues and to estimate the optimal permittivity for a given application. The model was compared against numerical simulations on a human-head configuration to assess its accuracy and potential as a fast optimization tool. Finally, to experimentally validate the approach and explore possible SNR improvements, a spherical phantom mimicking the dielectric properties of human tissues at 7 T was fabricated, coated with an HPM layer predicted by the model, and tested under ultra-high-field MRI conditions.
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