A 3D Scan Model and Thermal Image Data Fusion Algorithms for 3D Thermography in Medicine

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dc.contributor.authorChromý, Adamcs
dc.contributor.authorKlíma, Ondřejcs
dc.coverage.issue1cs
dc.coverage.volume2017cs
dc.date.issued2017-11-08cs
dc.description.abstractObjectives. At present, medical thermal imaging is still considered a mere qualitative tool enabling us to distinguish between but lacking the ability to quantify the physiological and nonphysiological states of the body. Such a capability would, however, facilitate solving the problem of medical quantification, whose presence currently manifests itself within the entire healthcare system. Methods. A generally applicable method to enhance captured 3D spatial data carrying temperature-related information is presented; in this context, all equations required for other data fusions are derived. The method can be utilized for high-density point clouds or detailed meshes at a high resolution but is conveniently usable in large objects with sparse points. Results. The benefits of the approach are experimentally demonstrated on 3D thermal scans of injured subjects. We obtained diagnostic information inaccessible via traditional methods. Conclusion. Using a 3D model and thermal image data fusion allows the quantification of inflammation, facilitating more precise injury and illness diagnostics or monitoring. The technique offers a wide application potential in medicine and multiple technological domains, including electrical and mechanical engineering.en
dc.formattextcs
dc.format.extent1-9cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationmulti science- Journal of Healthcare Engineering. 2017, vol. 2017, issue 1, p. 1-9.en
dc.identifier.doi10.1155/2017/5134021cs
dc.identifier.issn2040-2295cs
dc.identifier.orcid0000-0002-8184-2255cs
dc.identifier.orcid0000-0001-9295-065Xcs
dc.identifier.other144483cs
dc.identifier.researcheridB-3136-2014cs
dc.identifier.researcheridI-4030-2018cs
dc.identifier.scopus55906563300cs
dc.identifier.scopus57193340483cs
dc.identifier.urihttp://hdl.handle.net/11012/70893
dc.language.isoencs
dc.publisherNEUVEDENcs
dc.relation.ispartofmulti science- Journal of Healthcare Engineeringcs
dc.relation.urihttp://dx.doi.org/10.1155/2017/5134021cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2040-2295/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subject3D thermal imagingen
dc.subjectThermal quantificationen
dc.subjectMedical Thermographyen
dc.subject3D Data Fusionen
dc.subject3D termální zobrazování
dc.subjectteplotní kvantifikce
dc.subjectmedicínská termografie
dc.subjectfúze prostorových dat
dc.titleA 3D Scan Model and Thermal Image Data Fusion Algorithms for 3D Thermography in Medicineen
dc.title.alternativeAlgoritmy fúze 3D skenovaných modelů a termálních obrazových dat pro medicínskou termografiics
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-144483en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:39:38en
sync.item.modts2025.01.17 15:23:45en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav automatizace a měřicí technikycs
thesis.grantorVysoké učení technické v Brně. Fakulta informačních technologií. Ústav počítačové grafiky a multimédiícs
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