Multi-Element UWB Probe Optimization for Medical Microwave Imaging
| Autor: | Lluis JOFRE-ROCA, Youness Akazzim, Otman El Mrabet, Jordi Romeu |
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| Přispěvatelé: | Universitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. CommSensLab-UPC - Centre Específic de Recerca en Comunicació i Detecció UPC |
| Rok vydání: | 2022 |
| Předmět: |
UWB imaging
Cervell -- Imatgeria Microwave imaging Focusing technique Brain -- Imaging Imatgeria mèdica Electrical and Electronic Engineering Biochemistry Instrumentation Enginyeria de la telecomunicació::Processament del senyal [Àrees temàtiques de la UPC] Medical applications Atomic and Molecular Physics and Optics Analytical Chemistry |
| Zdroj: | Sensors (Basel, Switzerland). 23(1) |
| ISSN: | 1424-8220 |
| Popis: | The need for non-ionizing techniques for medical imaging applications has led to the use of microwave signals. Several systems have been introduced in recent years based on increasing the number of antennas and frequency bandwidth to obtain high resolution and good accuracy in locating objects. A novel microwave imaging system that reduces the number of required antennas for precise target location appropriate for medical applications is presented. The proposed system consists of four UWB extended gap ridge horn (EGRH) antennas covering the frequency band from 0.5 GHz to 1.5 GHz mounted on a cylindrical phantom that mimics the brain in an orthogonal set of two EGRH probes. This configuration has the ability to control both the longitudinal and transversal dimensions of the reconstructed target’s image, rather than controlling the spatial resolution, by increasing the frequency band that can be easily affected by medium losses. The system is tested numerically and experimentally by the detection of a cylindrical target within a human brain model. This work was financially supported by CICYT PID2019-107885GB-C31, and support grants for university departments and research units (FI-SDUR)(2021 FISDU 00195). This work was also supported by the National Center for Scientific and Technological Research (CNRST) under grant number PPR2/2015/36. |
| Databáze: | OpenAIRE |
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