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dc.contributor.authorBalduino, Roberta
dc.contributor.authorMcDermott, Barry
dc.contributor.authorPorter, Emily
dc.contributor.authorElahi, Muhammad Adnan
dc.contributor.authorShahzad, Atif
dc.contributor.authorO'Halloran, Martin
dc.contributor.authorCavagnaro, Marta
dc.identifier.citationBalduino, R., McDermott, B., Porter, E., Elahi, M. A., Shahzad, A., Halloran, M. O', & Cavagnaro, M. (2019). Feasibility of water content-based dielectric characterisation of biological tissues using mixture models. IEEE Transactions on Dielectrics and Electrical Insulation, 26(1), 187-193. doi: 10.1109/TDEI.2018.007412en_IE
dc.description.abstractThis study quantitatively examines the validity of mixture formulae as models to describe the microwave-range dielectric properties of biological tissue of varying water content. Mixture formulae, specifically the Maxwell Garnett and Bruggeman models, are used to predict the dielectric properties of ex-vivo bovine muscle and liver tissue samples varying in water content. The tissues are modelled as comprising of cell and macromolecule inclusions in a water matrix. The model predictions are compared to dielectric measurements performed with a network analyser and dielectric probe in the 0.5 8.5 GHz band. There was a poor match between the properties predicted by the models and the measured results at most frequency points, for both tissue types. However, the overall predicted and measured trends over the measured band correlated well. The Maxwell Garnett and Bruggeman models may prove a valuable tool aiding in the characterisation of the dielectric properties of materials with different water contents, however, currently, direct application of the model with the assumption of solid inclusions in a water matrix is not feasible without substantial improvement to the models. The dielectric properties of biological tissue are of fundamental importance for many medical technologies ranging from diagnostic to therapeutic. There is a need for continuous improvements to be made to the techniques used to measure and characterise the dielectric properties of tissues. Mixture models are investigated in this study as potentially a valuable candidate modelling technique for the dielectric profiling of tissues based on water content.en_IE
dc.description.sponsorshipThe research leading to these results has received funding from the European Research Council under the European Union's Horizon 2020 Programme/ERC Grant Agreement BioElecPro n.637780, Science Foundation Ireland (SFI) grant number 15/ERCS/3276, the Hardiman Research Scholarship from NUIG, the charity RESPECT and the People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme (FP7/2007-2013) under REA Grant Agreement no. PCOFUND-GA-2013-608728.en_IE
dc.relation.ispartofIeee Transactions On Dielectrics And Electrical Insulationen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.subjectdielectric propertiesen_IE
dc.subjectmixture modelsen_IE
dc.titleFeasibility of water content-based dielectric characterisation of biological tissues using mixture modelsen_IE
dc.contributor.funderHorizon 2020en_IE
dc.contributor.funderScience Foundation Irelanden_IE
dc.contributor.funderHardiman Research Scholarship, NUI Galwayen_IE
dc.contributor.funderSeventh Framework Programmeen_IE
dc.local.contactBarry Mc Dermott, Translational Medical Device Lab, , 2nd Floor Lambe Translational Research Facility,, University College Hospital, , Galway. - Email:
dcterms.projectinfo:eu-repo/grantAgreement/EC/H2020::ERC::ERC-STG/637780/EU/Frontier Research on the Dielectric Properties of Biological Tissue/BIOELECPROen_IE
dcterms.projectinfo:eu-repo/grantAgreement/SFI/SFI ERC Support Programme/15/ERCS/3276/IE/BIOELECPRO: Frontier Research on the Dielectric Properties of Biological Tissue/en_IE
dcterms.projectinfo:eu-repo/grantAgreement/EC/FP7::SP3::PEOPLE/608728/EU/Assistive Technologies in Autism and Intellectual Disability/ASSISTIDen_IE

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