This paper aims to provide a realistic 3-D modelling framework of a real-world microwave imaging system for brain monitoring that mimics pre-assessment experimental clinical scenarios and lab setups. The model considers an anthropomorphic adult head with multiple tissues, a hemorrhagic brain stroke and a detailed prototype of a modular microwave antennas helmet. The set of antennas detect changes in the permittivity of biological tissues and then imaging reconstruction algorithms generates a 3-D representation of stroke using EM fields and scattering data generated by a full-wave numerical simulation. As results, it is presented a reconstruction of onset stroke in the white matter area of the brain using a TSVD algorithm and the born approximation for imaging.
Realistic Numerical Modelling for 3-D brain stroke monitoring / Rodriguez-Duarte, David; Tobon, Jorge; Vipiana, Francesca. - ELETTRONICO. - (2020). (Intervento presentato al convegno 2020 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting nel 2020) [10.1109/IEEECONF35879.2020.9330341].
Realistic Numerical Modelling for 3-D brain stroke monitoring
Rodriguez-Duarte, David;Tobon, Jorge;Vipiana, Francesca
2020
Abstract
This paper aims to provide a realistic 3-D modelling framework of a real-world microwave imaging system for brain monitoring that mimics pre-assessment experimental clinical scenarios and lab setups. The model considers an anthropomorphic adult head with multiple tissues, a hemorrhagic brain stroke and a detailed prototype of a modular microwave antennas helmet. The set of antennas detect changes in the permittivity of biological tissues and then imaging reconstruction algorithms generates a 3-D representation of stroke using EM fields and scattering data generated by a full-wave numerical simulation. As results, it is presented a reconstruction of onset stroke in the white matter area of the brain using a TSVD algorithm and the born approximation for imaging.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2846933