1,721,128 research outputs found
An Innovative Framework for Advancing Microwave Medical Imaging: The EMERALD European Network
Full text linkPatrón de desarrollo ovárico en hembras de Triatoma sordida ayunadas
Full text linkFil: Rodríguez, C. Universidad Nacional de Córdoba Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Biológicas y Tecnológicas. Cátedra Introducción a la Biología; Argentina.Fil: Rodríguez, C. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Fil: Aguirre, S. Universidad Nacional de Córdoba. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones en Bioquímica Clínica e Inmunología. Departamento de Bioquímica Clínica; Argentina.Fil: Aguirre, S. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas; Argentina.Fil: Nattero, J. Universidad Nacional de Córdoba Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Biológicas y Tecnológicas. Cátedra .Introducción a la Biología; Argentina.Fil: Nattero, J. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Fil: Canavoso, L. Universidad Nacional de Córdoba. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones en Bioquímica Clínica e Inmunología. Departamento de Bioquímica Clínica; Argentina.Fil: Canavoso, L. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas; Argentina.Fil: Crocco, L. Universidad Nacional de Córdoba Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Biológicas y Tecnológicas. Cátedra .Introducción a la Biología; Argentina.Fil: Crocco, L. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Entre los vectores secundarios de Trypanosoma cruzi - agente causante de enfermedad de chagas - Triatoma sordida es considerada una especie de importancia epidemiológica debido a su presencia en peridomicilios y a la tendencia a invadir y formar grandes colonias domésticas.Fil: Rodríguez, C. Universidad Nacional de Córdoba Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Biológicas y Tecnológicas. Cátedra Introducción a la Biología; Argentina.Fil: Rodríguez, C. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Fil: Aguirre, S. Universidad Nacional de Córdoba. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones en Bioquímica Clínica e Inmunología. Departamento de Bioquímica Clínica; Argentina.Fil: Aguirre, S. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas; Argentina.Fil: Nattero, J. Universidad Nacional de Córdoba Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Biológicas y Tecnológicas. Cátedra .Introducción a la Biología; Argentina.Fil: Nattero, J. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Fil: Canavoso, L. Universidad Nacional de Córdoba. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones en Bioquímica Clínica e Inmunología. Departamento de Bioquímica Clínica; Argentina.Fil: Canavoso, L. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas; Argentina.Fil: Crocco, L. Universidad Nacional de Córdoba Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Biológicas y Tecnológicas. Cátedra .Introducción a la Biología; Argentina.Fil: Crocco, L. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Zoología, Ornitología, Entomología, Etologí
On the design of a microwave imaging system to monitor thermal ablation of liver tumors
Full text linkThermal ablation treatment of cancer is increasingly adopted in the clinical practice, being minimally invasive and highly specific. However, a significant drawback of the technique is the lack of effective imaging modalities for monitoring the changes undergoing in the thermally treated tissue. In this respect, microwave imaging has been proposed as a possible candidate, owing to its portability, low-cost, non-ionizing nature, and capability to detect changes in dielectric properties of tissues induced by the temperature. The goal of this paper is to provide the guidelines for the design of a microwave imaging system for thermal ablation monitoring of liver tumors. To this end, an analytical study is performed to determine the proper working conditions, in terms of frequency band and matching medium. Then, three antipodal Vivaldi antennas on different dielectric substrates are designed and numerically assessed. Among those antennas, the Vivaldi antenna on RT/duroid 6010LM substrate proved to be the most suitable choice. The results of this study pave the way to an experimental assessment of microwave imaging as a modality to monitor thermal ablation treatments
A Simple Quantitative Inversion Approach for Microwave Imaging in Embedded Systems
No full textIn many applications of microwave imaging, there is the need of confining the device in order to shield it from environmental noise as well as to host the targets and the medium used for impedance matching purposes. For instance, in MWI for biomedical diagnostics a coupling medium is typically adopted to improve the penetration of the probing wave into the tissues. From the point of view of quantitative imaging procedures, that is aimed at retrieving the values of the complex permittivity in the domain under test, the presence of a confining structure entails an increase of complexity of the underlying modelling. This entails a further difficulty in achieving real-time imaging results, which are obviously of interest in practice. To address this challenge, we propose the application of a recently proposed inversion method that, making use of a suitable preprocessing of the data and a scenario-oriented field approximation, allows obtaining quantitative imaging results by means of quasi-real-time linear inversion, in a range of cases which is much broader than usual linearized approximations. The assessment of the method is carried out in the scalar 2D configuration and taking into account enclosures of different shapes and, to show the method's flexibility different shapes, embedding nonweak targets
A Physics-Assisted Deep Learning Microwave Imaging Framework for Real-time Shape Reconstruction of Unknown Targets
No full textIn this paper an innovative approach to microwave imaging, which combines a qualitative imaging technique and deep learning, is presented. The goal is to develop a tool for reliable and user-independent retrieval of the shape of unknown targets from the knowledge of the scattered fields. Qualitative imaging methods are powerful inverse scattering tools, as they provide morphological information in real-time. However, their outcome is a continuous map which has to be hard-thresholded to clearly identify the targets. This thresholding unavoidably results in case-dependent, often user-biased, results. To deal with this issue, a deep learning approach, based on a physics-assisted deep neural network is proposed to automatically classify image pixels, i.e., to generate binary masks, separating the targets (foreground) from the background. In particular, the proposed network binarizes the output of a qualitative imaging inversion technique known as orthogonality sampling method. For the sake of comparison, a deep learning method is also exploited, which generates the binary masks directly from the scattered fields without any qualitative imaging aid. A quantitative assessment of the performances of both methods as well as a test on experimental data are provided
Electromagnetic imaging and sensing for food quality and safety assessment [Guest Editorial]
Full text linkThe six articles in this special present to the antennas and propagation community some of the emerging research activities on the application of EM-based technologies in such a societally relevant topic. The articles address food industry applications as different as sensing food quality and food spoilage indicators and monitoring food items to detect contaminants
Improving the reconstruction capabilities in inverse scattering problems by exploitation of close-proximity setups
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Microwave Tomography for Food Contamination Monitoring
Full text linkThe security of packaged food needs to be guaranteed to safeguard customers health. A raise of complaints of physical contaminations into food products pushes for the development of additional monitoring techniques to prevent any kind of hazards, but also to protect brands from customers trust loss. In this work, a prototype working at microwave frequencies is assessed and tested in a significant environment. It exploits the dielectric contrast between contaminants and food content, and it is it is mainly focused on two classes of intrusions matters, i.e. plastic and glass fragments of few mm size, that have limited detection by the existing in-line technologies, such as X-rays systems. The measurements and the resulting 3-D image reconstructions are encouraging and allow to aim at the development of an industrial prototype, monitoring packaged food in real-time along a production line
Deep learning-enhanced qualitative microwave Imaging. Rationale and Initial assessment
Full text linkIn this paper, an innovative approach to microwave imaging that combines qualitative imaging and deep learning is presented. The goal is to set a framework for a reliable and user-independent retrieval of the shapes of unknown targets. To this end, the proposed approach exploits an inversion technique known as orthogonality sampling method, which is capable of providing a qualitative estimation of the shape of targets in realtime. The output of the qualitive inversion is processed by a deep learning fully convolutional network called U-Net. U-Net automatically generates binary masks depicting the geometrical properties of the targets, i.e., separates the scattering objects (foreground) from the background. A quantitative assessment of the performance of the processing framework is provided with simulated data to demonstrate the capabilities of the proposed approach
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