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Toward Intraoperative Brain-Shift Detection Through Microwave Imaging System


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Título :
Toward Intraoperative Brain-Shift Detection Through Microwave Imaging System
Autor :
Martínez Lozano, Andrea  
Blanco Angulo, Carolina  
Rodríguez-Martínez, Alberto
Juan, Carlos G.  
García Martínez, Héctor  
Sabater-Navarro, Jose Maria  
Ávila Navarro, Ernesto  
Editor :
Institute of Electrical and Electronics Engineers
Departamento:
Departamentos de la UMH::Ingeniería de Comunicaciones
Fecha de publicación:
2023-09-14
URI :
https://hdl.handle.net/11000/34213
Resumen :
This work shows a proof of concept of a radar-based microwave imaging (MWI) system for the detection of the brain-shift effect with minimum delay. The system is based on the estimation of the variations of both the position and the geometry of the brain in order to detect if remarkable variations have occurred. To that end, the system makes use of 12 twin antennas as sensing elements, which transmit broadband signals toward the patient’s head and receive the corresponding reflections. Printed monopole antennas with coplanar feed are considered, featuring a broad bandwidth and an omnidirectional radiation pattern. A signal processing strategy to estimate the detected distances to the target from the reflection seen by each antenna is also shown, as well as a calibration and fine-tuning procedure for accurate distance detection capabilities. To demonstrate the potential of the system, a cranium phantom and several brain phantoms, emulating different brain-shift cases, are fabricated and measured. The results show the effective detection of the brain-shift in all the cases under consideration, thereby demonstrating the potential of MWI systems for effective intraoperative brain-shift detection.
Palabras clave/Materias:
Biomedical signal processing
brain-shift
broadband antennas
microwave imaging (MWI) system
microwave radar
time-domain analysis
Área de conocimiento :
CDU: Ciencias aplicadas: Ingeniería. Tecnología
Tipo de documento :
info:eu-repo/semantics/article
Derechos de acceso:
info:eu-repo/semantics/closedAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
DOI :
https://doi.org/10.1109/TIM.2023.3315363
Aparece en las colecciones:
Artículos Ingeniería Comunicaciones



Creative Commons La licencia se describe como: Atribución-NonComercial-NoDerivada 4.0 Internacional.