Julian Bonello

Mr. Julian Bonello

University of Malta
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 May 2022 in Sensors
Verified
Journal Article
Open access
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JCJeantide Said Camilleri
Jeantide Said Camilleri
LFLourdes Farrugia
Lourdes Farrugia
Sergio CurtoSergio Curto
Sergio Curto
DRDario Rodrigues
Dario Rodrigues
Laura FarinaLaura Farina
Laura Farina
CHARLES SAMMUTCHARLES SAMMUT
CHARLES SAMMUT
Electromagnetic thermal therapies for cancer treatment, such as microwave hyperthermia, aim to heat up a targeted tumour site to temperatures within 40 and 44 °C. Computational simulations used to investigate such heating systems employ the Pennes’ bioheat equation to model the heat exchange within the tissue, which accounts for several tissue properties: density, specific heat capacity, thermal conductivity, metabolic heat generation rate, and blood perfusion rate. We present a review of these thermal and physiological properties relevant for hyperthermia treatments of breast including fibroglandular breast, fatty breast, and breast tumours. The data included in this review were obtained from both experimental measurement studies and estimated properties of human breast tissues. The latter were used in computational studies of breast thermal treatments. The measurement methods, where available, are discussed together with the estimations and approximations considered for values where measurements were unavailable. The review concludes that measurement data for the thermal and physiological properties of breast and tumour tissue are limited. Fibroglandular and fatty breast tissue properties are often approximated from those of generic muscle or fat tissue. Tumour tissue properties are mostly obtained from approximating equations or assumed to be the same as those of glandular tissue. We also present a set of reliable data, which can be used for more accurate modelling and simulation studies to better treat breast cancer using thermal therapies.

18 August 2020 in Sensors
Verified
Journal Article
Open access
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Julian BonelloJulian Bonello
Julian Bonello
Andrea DeMarcoAndrea DeMarco
Andrea DeMarco
IFIman Farhat
Iman Farhat
LFLourdes Farrugia
Lourdes Farrugia
CHARLES SAMMUTCHARLES SAMMUT
CHARLES SAMMUT
Medical devices making use of radio frequency (RF) and microwave (MW) fields have been studied as alternatives to existing diagnostic and therapeutic modalities since they offer several advantages. However, the lack of accurate knowledge of the complex permittivity of different biological tissues continues to hinder progress in of these technologies. The most convenient and popular measurement method used to determine the complex permittivity of biological tissues is the open-ended coaxial line, in combination with a vector network analyser (VNA) to measure the reflection coefficient (S11) which is then converted to the corresponding tissue permittivity using either full-wave analysis or through the use of equivalent circuit models. This paper proposes an innovative method of using artificial neural networks (ANN) to convert measured S11 to tissue permittivity, circumventing the requirement of extending the VNA measurement plane to the coaxial line open end. The conventional three-step calibration technique used with coaxial open-ended probes lacks repeatability, unless applied with extreme care by experienced persons, and is not adaptable to alternative sensor antenna configurations necessitated by many potential diagnostic and monitoring applications. The method being proposed does not require calibration at the tip of the probe, thus simplifying the measurement procedure while allowing arbitrary sensor design, and was experimentally validated using S11 measurements and the corresponding complex permittivity of 60 standard liquid and 42 porcine tissue samples. Following ANN training, validation and testing, we obtained a prediction accuracy of 5% for the complex permittivity.

27 November 2017 in IEEE Transactions on Dielectrics and Electrical Insulation
Verified
Journal Article
Closed access
SSSaqib Salahuddin
Saqib Salahuddin
MOMartin O'Halloran
Martin O'Halloran
Emily PorterEmily Porter
Emily Porter
LFLourdes Farrugia
Lourdes Farrugia
Julian BonelloJulian Bonello
Julian Bonello
PWP. Schembri Wismayer
P. Schembri Wismayer
In this paper, the effects of coagulation and temperature on the dielectric properties of human blood are investigated over the frequency range of 400 MHz–20 GHz using freshly extracted blood samples. The dielectric properties are measured using blood in four different sample collection tubes (bottles): one containing pure whole blood, two containing different anticoagulant agents, and one containing clot activator and serum separator. The collected data indicates that additive agents can have a significant impact on the measured dielectric properties of blood, both immediately after the sample is taken, and over longer time periods. This is an important finding as it suggests that measurements of blood properties conducted on sample repositories, or tissue banks, may not be representative of natural blood properties. Further, the results demonstrate that the dielectric properties of normal blood vary over time due to coagulation. Different clotting rates lead to dielectric properties of female and male blood samples that vary distinctly over time. The results also show that the relative permittivity of the anti-coagulated blood decreases with increasing temperature, up to the cross-over point around 10 GHz where the trend reverses.

21 July 2023 in Sensors
Verified
Journal Article
Open access
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Gulsah YildizGulsah Yildiz
Gulsah Yildiz
IFIman Farhat
Iman Farhat
LFLourdes Farrugia
Lourdes Farrugia
Julian BonelloJulian Bonello
Julian Bonello
KZKristian Zarb-Adami
Kristian Zarb-Adami
Ibrahim AkdumanIbrahim Akduman
Ibrahim Akduman
In microwave hyperthermia tumor therapy, electromagnetic waves focus energy on the tumor to elevate the temperature above its normal levels with minimal injury to the surrounding healthy tissue. Microwave hyperthermia applicator design is important for the effectiveness of the therapy and the feasibility of real-time application. In this study, the potential of using fractal octagonal ring antenna elements as a dipole antenna array and as a connected array at 2.45 GHz for breast tumor hyperthermia application was investigated. Microwave hyperthermia treatment models consisting of different fractal octagonal ring antenna array designs and a breast phantom are simulated in COMSOL Multiphysics to obtain the field distributions. The antenna excitation phases and magnitudes are optimized using the global particle swarm algorithm to selectively increase the specific absorption rate at the target region while minimizing hot spots in other regions within the breast. Specific absorption rate distributions, obtained inside the phantom, are analyzed for each proposed microwave hyperthermia applicator design. The dipole fractal octagonal ring antenna arrays are comparatively assessed for three different designs: circular, linear, and Cross—array. The 16-antenna dipole array performance was superior for all three 1-layer applicator designs, and no distinct difference was found between 16-antenna circular, linear, or cross arrays. Two-layer dipole arrays have better performance in the deep-tissue targets than one-layer arrays. The performance of the connected array with a higher number of layers exceeds the performance of the dipole arrays in the superficial regions, while they are comparable for deep regions of the breast. The 1-layer 12-antenna circular FORA dipole array feasibility as a microwave hyperthermia applicator was experimentally shown.

24 June 2019 in Biomedical Physics & Engineering Express
Verified
Journal Article
Closed access
PDF file
Julian BonelloJulian Bonello
Julian Bonello
MEMuhammad Adnan Elahi
Muhammad Adnan Elahi
Emily PorterEmily Porter
Emily Porter
MOMartin O’HOllaran
Martin O’HOllaran
LFLourdes Farrugia
Lourdes Farrugia
MOMartin O'Halloran
Martin O'Halloran
Presently, lung cancer is the leading cause of cancer deaths. Microwave thermal ablation is commonly used for the treatment of lung cancer. During microwave ablation treatment, changing temperatures (up to 100 °C) cause variations in the dielectric properties of the tissue under treatment. This study investigates the temperature dependence of dielectric properties of ex-vivo ovine lung tissue. The frequency spectrum investigated was from 0.5 GHz to 8 GHz over a total of 201 points. In this study, a microwave ablator (MWA) and a microwave oven (MWO) were used to warm up the samples under investigation. Initially, the spectral variation of the dielectric properties with temperature are presented. The results show that both the real part of the permittivity and the conductivity decrease with temperature for both heating methodologies. The study also investigates the effect of the heating methodology on the measurements. In this case, MWA heating results in a wider range in the measured dielectric parameters compared to MWO. However, the average values for both methodologies are within experimental uncertainty. Finally, the study also presents the temperature coefficients for both the MWA and the MWO tissue heating methods. These results are useful in treatment planning of thermal ablation procedures in order to minimise thermal damage to peripheral tissue.

5 June 2023 in Sensors
Verified
Journal Article
Open access
PDF file
JSJustin Stellini
Justin Stellini
LFLourdes Farrugia
Lourdes Farrugia
IFIman Farhat
Iman Farhat
Julian BonelloJulian Bonello
Julian Bonello
Raffaele PersicoRaffaele Persico
Raffaele Persico
CHARLES SAMMUTCHARLES SAMMUT
CHARLES SAMMUT
Agriculture is a major consumer of freshwater and is often associated with low water productivity. To prevent drought, farmers tend to over-irrigate, putting a strain on the ever-depleting groundwater resources. To improve modern agricultural techniques and conserve water, quick and accurate estimates of soil water content (SWC) should be made, and irrigation timed correctly in order to optimize crop yield and water use. In this study, soil samples common to the Maltese Islands having different clay, sand, and silt contents were, primarily, investigated to: (a) deduce whether the dielectric constant can be considered as a viable indicator of the SWC for the soils of Malta; (b) determine how soil compaction affects the dielectric constant measurements; and (c) to create calibration curves to directly relate the dielectric constant and the SWC for two different soil types of low and high density. The measurements, which were carried out in the X-band, were facilitated by an experimental setup comprising a two-port Vector Network Analyzer (VNA) connected to a rectangular waveguide system. From data analysis, it was found that for each soil investigated, the dielectric constant increases notably with an increase in both density and SWC. Our findings are expected to aid in future numerical analysis and simulations aimed at developing low-cost, minimally invasive Microwave (MW) systems for localized SWC sensing, and hence, in agricultural water conservation. However, it should be noted that a statistically significant relationship between soil texture and the dielectric constant could not be determined at this stage.