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dc.contributor.authorMcDermott, Barry
dc.contributor.authorAvery, James
dc.contributor.authorO'Halloran, Martin
dc.contributor.authorAristovich, Kirill Y.
dc.contributor.authorPorter, Emily
dc.date.accessioned2019-02-25T12:51:56Z
dc.date.issued2019-02-20
dc.identifier.citationBarry James, McDermott, James, Avery, Martin, O'Halloran, Kirill, Y. Aristovich, & Emily, Porter. (2019). Physiological Measurement.,doi:10.1088/1361-6579/ab08baen_IE
dc.identifier.issn1361-6579
dc.identifier.urihttp://hdl.handle.net/10379/14995
dc.description.abstractObjective: A novel method for the imaging of static scenes using Electrical Impedance Tomography (EIT) is reported with implementation and validation using numerical and phantom models. The technique is applicable to regions featuring symmetry in the normal case, asymmetry in the presence of a perturbation, and where there is a known, frequency-dependent change in the electrical conductivity of the materials in the region. Methods: The stroke diagnostic problem is used as a motivating sample application. The head is largely symmetrical across the sagittal plane. A haemorrhagic or ischaemic lesion located away from the sagittal plane will alter this natural symmetry, resulting in a symmetrical imbalance that can be detected using EIT. Specifically, application of EIT stimulation and measurement protocols at two distinct frequencies detects deviations in symmetry if an asymmetrically positioned lesion is present, with subsequent identification and localisation of the perturbation based on known frequency-dependent conductivity changes. Anatomically accurate computational models are used to demonstrate the feasibility of the proposed technique using different types, sizes, and locations of lesions with frequency-dependent (or independent) conductivity. Further, a realistic experimental head phantom is used to validate the technique using frequency-dependent perturbations emulating the key numerical simulations. Results: Lesion presence, type, and location are detectable using this novel technique. Results are presented in the form of images and corresponding robust quantitative metrics. Better detection is achieved for larger lesions, those further from the sagittal plane, and when measurements have a higher signal-to-noise ratio. Conclusion: Bi-Frequency Symmetry Difference EIT is an exciting new modality of EIT with the ability to detect deviations in the symmetry of a region that occur due to the presence of a lesion. Notably, this modality does not require a time change in the region and thus may be used in static scenarios such as stroke detection.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. James Avery was supported by the NIHR Imperial BRC.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherIOP Publishingen_IE
dc.relation.ispartofPhysiological Measurementen
dc.subjectBiomedical Imagingen_IE
dc.subjectElectrical Impedance Tomographyen_IE
dc.subjectReconstruction Algorithmen_IE
dc.titleBi-frequency symmetry difference electrical impedance tomography a novel technique for perturbation detection in static scenesen_IE
dc.typeArticleen_IE
dc.date.updated2019-02-21T09:57:40Z
dc.identifier.doi10.1088/1361-6579/ab08ba
dc.local.publishedsourcehttps://dx.doi.org/10.1088/1361-6579/ab08baen_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funderHorizon 2020en_IE
dc.contributor.funderEuropean Research Councilen_IE
dc.contributor.funderScience Foundation Irelanden_IE
dc.contributor.funderHardiman Research Scholarship, NUI Galwayen_IE
dc.contributor.funderSeventh Framework Programmeen_IE
dc.description.embargo2020-02-20
dc.internal.rssid15903495
dc.local.contactBarry Mc Dermott, Translational Medical Device Lab, , 2nd Floor Lambe Translational Research Facility,, University College Hospital, , Galway. - Email: b.mcdermott3@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionACCEPTED
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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