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hal.structure.identifierInstitut de Biomecanique Humaine Georges Charpak
dc.contributor.authorGAJNY, Laurent
dc.contributor.authorEBRAHIMI, Shahin
hal.structure.identifierÉcole nationale vétérinaire d'Alfort [ENVA]
hal.structure.identifierBiomécanique et Pathologie Locomotrice du Cheval [BPLC]
hal.structure.identifierLaboratoire de biomécanique [LBM]
hal.structure.identifierUniversity of Exeter
hal.structure.identifierInstitut de Biomecanique Humaine Georges Charpak
dc.contributor.authorVERGARI, Claudio
hal.structure.identifierTélécom ParisTech
dc.contributor.authorANGELINI, Elsa
hal.structure.identifierLaboratoire de biomécanique [LBM]
hal.structure.identifierInstitut de Mécanique et d'Ingénierie de Bordeaux [I2M]
hal.structure.identifierInstitut de Biomecanique Humaine Georges Charpak
dc.contributor.authorSKALLI, Wafa
dc.date.accessioned2021-05-14T09:41:53Z
dc.date.available2021-05-14T09:41:53Z
dc.date.issued2018-10-31
dc.identifier.issn1432-0932
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/76679
dc.description.abstractEnPurpose: To design a quasi-automated three-dimensional reconstruction method of the spine from biplanar X-rays as the daily used method in clinical routine is based on manual adjustments of a trained operator and the reconstruction time is more than 10 minutes per patient. Methods: The proposed method of 3D reconstruction of the spine (C3-L5) relies first on a new manual input strategy designed to fit clinicians’ skills. Then, a parametric model of the spine is computed using statistical inferences, image analysis techniques and fast manual rigid registration. Results: An agreement study with the clinically used method on a cohort of 57 adolescent scoliotic subjects has shown that both methods have similar performance on vertebral body position and axial rotation (null bias in both cases and standard deviation of signed differences of 1mm and 3.5° around respectively). In average, the solution could be computed in less than 5 minutes of operator time, even for severe scoliosis. Conclusions: The proposed method allows fast and accurate 3D reconstruction of the spine for wide clinical applications and represents a significant step toward full automatization of 3D reconstruction of the spine. Moreover, it is to the best of our knowledge the first method including also the cervical spine.
dc.language.isoen
dc.subjectOrthopedics and Sports Medicine
dc.subjectGeometric Modelling
dc.subjectBiomedical Imaging
dc.title.enQuasi-automatic 3D reconstruction of the full spine from low-dose biplanar X-rays based on statistical inferences and image analysis
dc.typeArticle de revue
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halInformatique [cs]
dc.subject.halMathématiques [math]
bordeaux.journalEuropean Spine
bordeaux.page658-664
bordeaux.volume28
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.issue4
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.peerReviewedoui
hal.identifierhal-02181752
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02181752v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=European%20Spine&rft.date=2018-10-31&rft.volume=28&rft.issue=4&rft.spage=658-664&rft.epage=658-664&rft.eissn=1432-0932&rft.issn=1432-0932&rft.au=GAJNY,%20Laurent&EBRAHIMI,%20Shahin&VERGARI,%20Claudio&ANGELINI,%20Elsa&SKALLI,%20Wafa&rft.genre=article


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