Multifrequency microwave radiometry for characterizing the Internal temperature of biological tissues

The analysis of near-field radiometry is described for characterizing the internal temperature of biological tissues, for which a system based on multifrequency pseudo-correlation-type radiometers is proposed. The approach consists of a new topology with multiple output devices that enables real-tim...

Descripción completa

Detalles Bibliográficos
Autores: Villa Benito, Enrique, Aja Abelán, Beatriz|||0000-0002-4229-2334, Fuente Rodríguez, Luisa María de la|||0000-0003-1403-1660, Artal Latorre, Eduardo|||0000-0002-2569-1894, Arteaga Marrero, Natalia, Ramos Rodríguez, Gara, Ruiz Alzola, Juan
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/27923
Acceso en línea:https://hdl.handle.net/10902/27923
Access Level:acceso abierto
Palabra clave:Microwave radiometry
Multifrequency
Pseudo-correlation receiver
Thermometry
Temperature retrieval
Descripción
Sumario:The analysis of near-field radiometry is described for characterizing the internal temperature of biological tissues, for which a system based on multifrequency pseudo-correlation-type radiometers is proposed. The approach consists of a new topology with multiple output devices that enables real-time calibration and performance assessment, recalibrating the receiver through simultaneous measurable outputs. Experimental characterization of the prototypes includes a welldefined calibration procedure, which is described and demonstrated, as well as DC conversion from the microwave input power. Regarding performance, high sensitivity is provided in all the bands with noise temperatures around 100 K, reducing the impact of the receiver on the measurements and improving its sensitivity. Calibrated temperature retrievals exhibit outstanding results for several noise sources, for which temperature deviations are lower than 0.1% with regard to the expected temperature. Furthermore, a temperature recovery test for biological tissues, such as a human forearm, provides temperature values on the order of 310 K. In summary, the radiometers design, calibration method and temperature retrieval demonstrated significant results in all bands, validating their use for biomedical applications.