The RoScan Thermal 3D Body Scanning System: Medical Applicability and Benefits for Unobtrusive Sensing and Objective Diagnosis

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dc.contributor.authorChromý, Adamcs
dc.contributor.authorŽalud, Luděkcs
dc.coverage.issue22cs
dc.coverage.volume20cs
dc.date.issued2020-11-20cs
dc.description.abstractThe RoScan is a novel, high-accuracy multispectral surface scanning system producing colored 3D models that include a thermal layer. (1) Background: at present, medicine still exhibits a lack of objective diagnostic methods. As many diseases involve thermal changes, thermography may appear to be a convenient technique for the given purpose; however, there are three limiting problems: exact localization, resolution vs. range, and impossibility of quantification. (2) Methods: the basic principles and benefits of the system are described. The procedures rely on a robotic manipulator with multiple sensors to create a multispectral 3D model. Importantly, the structure is robust, scene-independent, and features quantifiable measurement uncertainty; thus, all of the above problems of medical thermography are resolved. (3) Results: the benefits were demonstrated by several pilot case studies: medicament efficacy assessment in dermatology, objective recovery progress assessment in traumatology, applied force quantification in forensic sciences, exact localization of the cause of pain in physiotherapy, objective assessment of atopic dermatitis, and soft tissue volumetric measurements. (4) Conclusion: the RoScan addresses medical quantification, which embodies a frequent problem in several medical sectors, and can deliver new, objective information to improve the quality of healthcare and to eliminate false diagnoses.en
dc.formattextcs
dc.format.extent1-22cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationSENSORS. 2020, vol. 20, issue 22, p. 1-22.en
dc.identifier.doi10.3390/s20226656cs
dc.identifier.issn1424-8220cs
dc.identifier.orcid0000-0002-8184-2255cs
dc.identifier.orcid0000-0003-2993-7772cs
dc.identifier.other167314cs
dc.identifier.researcheridB-3136-2014cs
dc.identifier.researcheridA-7047-2012cs
dc.identifier.scopus55906563300cs
dc.identifier.scopus8439091900cs
dc.identifier.urihttp://hdl.handle.net/11012/195792
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofSENSORScs
dc.relation.urihttps://www.mdpi.com/1424-8220/20/22/6656cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1424-8220/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectmultimodal imagingen
dc.subjectmultispectral imagingen
dc.subject3D thermographyen
dc.subjecthigh-accuracy 3D scanningen
dc.subjectrobotic 3D scanningen
dc.titleThe RoScan Thermal 3D Body Scanning System: Medical Applicability and Benefits for Unobtrusive Sensing and Objective Diagnosisen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-167314en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:39:27en
sync.item.modts2025.01.17 17:32:59en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav automatizace a měřicí technikycs
thesis.grantorVysoké učení technické v Brně. Středoevropský technologický institut VUT. Kybernetika pro materiálové vědycs
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