Training set generation system for reconstruction of electrical impedance tomography images

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but.event.date23.04.2024cs
but.event.titleSTUDENT EEICT 2024cs
dc.contributor.authorZemiti, Samia
dc.contributor.authorAloph, Clark
dc.contributor.authorMikulka, Jan
dc.date.accessioned2024-07-09T07:38:38Z
dc.date.available2024-07-09T07:38:38Z
dc.date.issued2024cs
dc.description.abstractThis paper introduces an innovative approach to simulating Electrical Impedance Tomography (EIT) through MATLAB, aimed at advancing the accuracy and reliability of internal imaging using electrodes. We address the critical challenge of reconstructing interior images with high fidelity by simulating inhomogeneous mediums. Our methodology involves the generation of synthetic datasets, encompassing various inhomogeneity scenarios, followed by applying forward solutions to ascertain voltage measurements indicative of interior conductivity variations. The research emphasizes the creation of an adaptive framework capable of simulating real-world scenarios within a controlled digital environment, thereby enhancing the predictive capabilities of EIT systems in diverse applications ranging from medical imaging to industrial inspection.en
dc.formattextcs
dc.format.extent190-193cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings I of the 30st Conference STUDENT EEICT 2024: General papers. s. 190-193. ISBN 978-80-214-6231-1cs
dc.identifier.isbn978-80-214-6231-1
dc.identifier.issn2788-1334
dc.identifier.urihttps://hdl.handle.net/11012/249231
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings I of the 30st Conference STUDENT EEICT 2024: General papersen
dc.relation.urihttps://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdfcs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectEITen
dc.subjectimage reconstructionen
dc.subjectdataset generationen
dc.subjectforward problemen
dc.subjectconductivity distributionen
dc.subjectinhomogeneity mappingen
dc.subjectMATLABen
dc.titleTraining set generation system for reconstruction of electrical impedance tomography imagesen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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