- Microwave Imaging and Scattering Analysis
- Wireless Body Area Networks
- Geophysical Methods and Applications
- Microwave and Dielectric Measurement Techniques
- Ultrasound Imaging and Elastography
- Electromagnetic Scattering and Analysis
- Electromagnetic Simulation and Numerical Methods
- Ultrasonics and Acoustic Wave Propagation
- Indoor and Outdoor Localization Technologies
- Photoacoustic and Ultrasonic Imaging
- Advanced Antenna and Metasurface Technologies
- Advanced Chemical Sensor Technologies
- Ultrasound and Hyperthermia Applications
- Soil Moisture and Remote Sensing
- Optical Imaging and Spectroscopy Techniques
- Spectroscopy and Chemometric Analyses
- Numerical methods in engineering
- Electromagnetic Compatibility and Measurements
- Microwave Engineering and Waveguides
- Non-Invasive Vital Sign Monitoring
- Terahertz technology and applications
- Chalcogenide Semiconductor Thin Films
- Oceanographic and Atmospheric Processes
- Antenna Design and Analysis
- Food Supply Chain Traceability
Polytechnic University of Turin
2016-2025
Istituto Superiore Mario Boella
2011-2015
Los Alamos National Laboratory
2004
This paper presents the design of a novel low-complexity microwave imaging system for monitoring brain stroke. In particular, is concerned with determination optimal layout antennas array, namely, minimum number, positions, and polarization radiating elements, enabling acquisition an amount data such to assure reliable imaging. goal achieved by adopting rigorous procedure based on inspection singular value decomposition relevant discretized scattering operator taking into account actual...
This work focuses on brain stroke imaging via microwave technology. In particular, the open issue of monitoring patients after onset is addressed here in order to provide clinicians with a tool control effectiveness administered therapies during follow-up period. this paper, novel prototype presented and characterized. The device based low-complexity architecture which makes use minimum number properly positioned designed antennas placed helmet. It exploits differential approach provides 3D...
Contamination with foreign objects is one of the main causes customers? complaints against food manufacturers. Although different technologies are used for and beverage inline monitoring, cases contaminated products still reach market, many which involve plastic glass fragments. In this article, we propose use a microwave imaging (MWI) technology to monitor packaged foods along production lines. framework, MWI exploits differences in dielectric properties between contaminant as well faulty...
This work presents the outcomes of a numerical analysis based on 3-D high fidelity model realistic microwave imaging system for clinical follow-up brain stroke. The is meant as preliminary step towards full experimental characterization system, with aim assessing achievable results and highlight possible critical points. consists an array twenty-four printed monopole antennas, placed conformal to upper part head; each immersed into semi-solid dielectric brick custom permittivity, acting...
This paper presents the experimental validation of a microwave imaging system for real-time monitoring brain stroke in post-acute stage. The exploits low-complexity sensing apparatus and multi-frequency algorithm with novel artifact removal feature. Phantoms homogeneous anthropomorphic head an ellipsoidal non-static mimicking target, varying gradually from 0 cm3 to 60 cm3, are employed experiments. phantom evolving target filled appropriate alcohol-based mixtures mimic different dielectric...
We present a domain decomposition (DD) framework for the analysis of impenetrable structures; it allows electric field integral equation (EFIE) and combined (CFIE), open, closed, open-closed structures. The DD results in an effective preconditioner large complex problems exploiting iterative solution fast factorizations. employs specialized transmission conditions among domains, use discontinuous Galerkin (DG) conformal as well nonconformal discretizations boundaries; nature gives...
Microwave imaging is an emerging breast cancer diagnostic technique, which aims at complementing already established methods like mammography, magnetic resonance imaging, and ultrasound. It offers two striking advantages: no-risk for the patient potential low-cost national health systems. So far, however, prototypes developed validation in labs clinics used costly lab instruments such as a vector network analyzer (VNA). Moreover, CPU time required by complex image reconstruction algorithms...
The aim of this paper is to present and experimentally verify the first prototype a microwave imaging system specifically designed realized for continuous monitoring patients affected by brain stroke, immediately after its onset diagnosis. device 2D version 3D system, currently under construction, consists an array 12 printed monopole antennas connected two-port vector network analyzer through switching matrix so that each antenna can act as transmitter or receiver, thereby allowing...
In this letter, we describe and validate a microwave antenna designed for an imaging device the diagnosis monitoring of cerebrovascular pathologies. The consists printed monopole immersed in parallelepipedic block semiflexible material with custom-permittivity, which allows to avoid use liquid coupling media enables simple array arrangement. "brick" is built mixture urethane rubber graphite powder. -10 dB frequency band 800 MHz-1.2 GHz, agreement requirements. brick assessed terms power...
This paper experimentally validates the capability of a microwave prototype device to localize hemorrhages and ischemias within brain as well proposes an innovative calibration technique based on measured data. In reported experiments, 3-D human-like head phantom is considered, where represented either with homogeneous liquid mimicking dielectric properties or ex vivo calf brains. The imaging (MWI) system works at 1 GHz, it realized low-complexity architecture formed by array twenty-four...
Despite the meticulous attention of food industries to prevent hazards in packaged goods, some contaminants may still elude controls. Indeed, standard methods, like X-rays, metal detectors and near-infrared imaging, cannot detect low-density materials. Microwave sensing is an alternative method that, combined with machine learning classifiers, can tackle these deficiencies. In this paper we present a design methodology applied case study sector. Specifically, offer complete flow from...
The detection of contaminants in food products after packaging by a non-invasive technique is serious need for companies operating the industry. In recent years, many technologies have been investigated and developed to overcome intrinsic drawbacks currently employed techniques, such as X-rays metal detector, offer more appropriate solutions with respect techniques academic domain terms acquisition speed, cost, penetration depth (infrared, hyperspectral imaging). A new method based on MW...
To detect contaminants accidentally included in packaged foods, food industries use an array of systems ranging from metal detectors to X-ray imagers. Low density plastic or glass contaminants, however, are not easily detected with standard methods. If the dielectric contrast between and these microwave spectrum is sensible, Microwave Sensing (MWS) can be used as a contactless detection method, which particularly useful when already packaged. In this paper we propose using MWS combined...
The aim of this work was to develop multimodal anthropomorphic breast phantoms suitable for evaluating the imaging performance a recently-introduced Microwave Imaging (MWI) technique in comparison established diagnostic modalities Magnetic Resonance (MRI), Ultrasound (US), mammography and Computed Tomography (CT). MWI is an emerging with significant potential supplement techniques improve confidence cancer detection. To date, numerical simulations have been used assess different scanning...
Hypersonic flight regime is conventionally defined for Mach larger than 5; in these conditions, the flying object becomes enveloped a plasma. This plasma densest thin surface layers, but typical situations of interest it impacts electromagnetic wave propagation an electrically large volume. We address this problem with hybrid approach. employ Equivalence Theorem to separate inhomogeneous region from surrounding free space via equivalent (Huygens) surface, and Eikonal approximation Maxwell...
This work presents the design and numerical assessment of a novel microwave imaging (MWI) system, capable providing full 3-D image food/beverage products content in order to disclose possible presence physical contaminants, such as plastic fragments. The system here presented exploits dielectric contrast between food intrusions at frequencies; it is based on an antenna array architecture inspecting items motion along conveyor belt without interrupting production process. inversion problem...
This paper proposes an efficient and fast method to create large datasets for machine learning algorithms applied brain stroke classification via microwave imaging systems. The proposed is based on the distorted Born approximation linearization of scattering operator, in order minimize time generate needed train algorithms. then a system, which consists twenty-four antennas conformal upper part head, realized with 3D anthropomorphic multi-tissue model. Each antenna acts as transmitter...
This paper describes the realization of a versatile anthropomorphic multi-tissue head phantom for testing microwave imaging devices, employing mixtures featuring readily available, not harmful, and stable components. Considering that evaluation such as medical ones, might require variation characteristics tissues their assessment, manufacturing approaches issue using both unalterable adjustable For former, we reproduce skin, fat, bone, grey matter, white cerebellum, ventricles flexible solid...
In this paper we present a prototype of Microwave Imaging (MI) system for breast cancer detection. Our is based on low-cost off-the-shelf microwave components, custom-made antennas, and small form-factor processing with an embedded Field-Programmable Gate Array (FPGA) accelerating the execution imaging algorithm. We show that our can compete vector network analyzer in terms accuracy, it more than 20x faster high-performance server at image reconstruction.
Microwave imaging can effectively image the evolution of a hemorrhagic stroke thanks to dielectric contrast between blood and surrounding brain tissues. To keep low both form factor power consumption in bedside device, we propose implementing microwave algorithm for monitoring programmable system-on-chip, which simple ARM-based CPU offloads an FPGA heavy part computation. Compared full-software implementation ARM CPU, obtain 5× speed increase with hardware acceleration without loss accuracy...
We propose an automatic, solution based, localized meshing refinement for increasing the accuracy of integral-equation multi-scale electromagnetic problems. The procedure starts with a local measure boundary condition error, via testing on zero-order basis functions defined finest level mesh. Then, adaptive mesh (h-refinement) is obtained by nonconformal submeshing Discontinuous Galerkin formulation in order to achieve desired accuracy. Numerical experiments show effectiveness approach cases...
In the bioremediation field, geophysical techniques are commonly applied, at lab scale and field scale, to perform characterization monitoring of contaminated soils. We propose a method for detecting dielectric properties soil during process bioremediation. An open-ended coaxial probe measured complex permittivity (between 0.2 20 GHz) on series six microcosms by diesel oil (13.5% Voil/Vtot). The had different moisture content (13%, 19%, 24% Vw/Vtot) salinity due addition nutrients (22 15...