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https://scidar.kg.ac.rs/handle/123456789/8234
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DC Field | Value | Language |
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dc.rights.license | openAccess | - |
dc.contributor.author | Cukovic, Sasa | - |
dc.contributor.author | Taylor W. | - |
dc.contributor.author | Lukovic V. | - |
dc.contributor.author | Ghionea I. | - |
dc.contributor.author | Baizid K. | - |
dc.contributor.author | Iqbal J. | - |
dc.contributor.author | Karuppasamy S. | - |
dc.date.accessioned | 2020-09-19T15:09:02Z | - |
dc.date.available | 2020-09-19T15:09:02Z | - |
dc.date.issued | 2020 | - |
dc.identifier.issn | 1686-4360 | - |
dc.identifier.uri | https://scidar.kg.ac.rs/handle/123456789/8234 | - |
dc.description.abstract | © 2020 CAD Solutions, LLC. In this paper, we developed a methodology for a non-invasive 3D diagnosis based on a digitized dorsal surface of the patient enabling assessment and monitoring of Adolescent Idiopathic Scoliosis (AIS). We applied a novel 3D registration algorithm, which enables rigid transformation of 3D vertebral CAD models and localization of vertebrae centroids on the middle 3D spinal line to simulate the AIS. Registrations of the vertebral centroids on a 5th degree middle spinal B-Spline curve is the main step in establishing biomechanical relations of internal structure (deformed spine) with a digitized surface of patients and extracting the key diagnostic parameters of the AIS. This simulation algorithm is developed into PLM system CATIA using KAx tools and successfully evaluated on 372 AIS patients. | - |
dc.rights | info:eu-repo/semantics/openAccess | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.title | Rigid 3d registration algorithm for localization of the vertebral centroids in 3d deformity models of adolescent idiopathic scoliosis | - |
dc.type | article | - |
dc.identifier.doi | 10.14733/cadaps.2020.1313-1325 | - |
dc.identifier.scopus | 2-s2.0-85081081718 | - |
Appears in Collections: | Institute for Information Technologies, Kragujevac |
Files in This Item:
File | Description | Size | Format | |
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10.14733-cadaps.2020.1313-1325.pdf | 820.33 kB | Adobe PDF | View/Open |
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