Analysis of brain tumors based on line of interest

but.event.date26.04.2022cs
but.event.titleSTUDENT EEICT 2022cs
dc.contributor.authorŠirůčková, K.
dc.contributor.authorSolár, P.
dc.contributor.authorMarcoň, P.
dc.date.accessioned2023-04-25T10:17:08Z
dc.date.available2023-04-25T10:17:08Z
dc.date.issued2022cs
dc.description.abstractDue to the high resolution of soft tissue, magnetic resonance imaging plays a crucial role in the diagnosis and therapy planning in the neurosurgery field whereas it is necessary to determine which pathology in the brain tissue is involved. Glioblastoma multiforme, metastatic tumors and abscesses are examined in detail from magnetic resonance images. In clinical practice, all mentioned pathologies are diagnosed through invasive methods in the form of biopsy followed by histology of the affected tissue. This work is focused on an alternative non-invasive method of tumor diagnosis. The method is based on the data analysis from defined curves (drawn into the apparent diffusion images) that lead from the tumor area. The analysis of curves could lead to non-invasive diagnostics of the pathological tissue.en
dc.formattextcs
dc.format.extent255-258cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings I of the 28st Conference STUDENT EEICT 2022: General papers. s. 255-258. ISBN 978-80-214-6029-4cs
dc.identifier.isbn978-80-214-6029-4
dc.identifier.urihttp://hdl.handle.net/11012/209340
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings I of the 28st Conference STUDENT EEICT 2022: General papersen
dc.relation.urihttps://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazenics
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectMagnetic resonance imagingen
dc.subjectapparent diffusion coefficienten
dc.subjectglioblastoma multiformeen
dc.subjectmetastasisen
dc.subjectabscessen
dc.titleAnalysis of brain tumors based on line of interesten
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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