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.
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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
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