1. University of Kragujevac Digital Archive
  2. University of Kragujevac
  3. Faculty of Engineering, Kragujevac
Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/11945
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dc.rights.licenserestrictedAccess-
dc.contributor.authorCukovic, Sasa-
dc.contributor.authorLukovic V.-
dc.contributor.authorSubburaj, Karupppasamy-
dc.contributor.authorBirkfellner, Wolfgang-
dc.contributor.authorMilošević D.-
dc.contributor.authorRistic, Branko-
dc.contributor.authorDevedzic, Goran-
dc.date.accessioned2021-04-20T19:37:41Z-
dc.date.available2021-04-20T19:37:41Z-
dc.date.issued2015-
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/11945-
dc.description.abstract© 2015 IEEE. In this article we describe a 3D methodology to characterize dorsal surface for the diagnosis of idiopathic scoliosis and its implementation. This characterization is based on the set of external and internal parameters recommended by SOSORT consortium. Parameterized 3D model of the spine and 3D optical scans of dorsal surfaces are used to generate patient-specific surface model for the analysis. The methodology is implemented using Visual Basic Application (VBA) macros in a CAD environment to study relationship between dorsal and internal parameters of spinal deformities and 3D visualization.-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.source2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015-
dc.titleAutomated SOSORT-recommended angles measurement in patients with adolescent idiopathic scoliosis-
dc.typeconferenceObject-
dc.identifier.doi10.1109/BIBE.2015.7367716-
dc.identifier.scopus2-s2.0-84962850868-
Appears in Collections:Faculty of Engineering, Kragujevac
Faculty of Medical Sciences, Kragujevac
Institute for Information Technologies, Kragujevac

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