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Contribution à l'automatisation du traitement des radiographies du système ostéoarticulaire pour la modélisation géométrique et l'analyse clinique

Abstract : Study and diagnosis of skeleton deformities such as scoliosis require a three-dimensional approach allowing bones' position and geometry analysis. The Laboratoire de Biomécanique (Paris, France) and the Laboratoire de recherche en Imagerie et Orthopédie (Montréal, Canada) have developed 3D reconstruction methods of skeleton from biplanar X-rays, especially from the low dose imaging device EOS (Biospace med, Paris, France). These methods allow a global 3D analysis of the patient, in standing position with a low radiation dose. However the reconstruction time remains too important for a routine clinical use.The purpose of this Ph.D. thesis is to progress in automation of 3D reconstruction methods from biplanar X-rays. The proposed approaches will be applied to thoracic and lumbar spine for scoliosis study and diagnosis. A reconstruction method based on parametric models relying on longitudinal and transversal statistical inferences was proposed and evaluated. This method gives very quickly (2min 30s), from a few identifications of anatomical landmarks in the X-rays, a first estimate of the subject-specific model of the spine with clinical measurements dedicated to scoliosis diagnosis. If necessary, a more accurate 3D subject-specific model may be obtained in a reduced reconstruction time (10min) from operator adjustments of the model which auto improves as soon as the model is corrected.
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https://pastel.archives-ouvertes.fr/pastel-00004241
Contributor : Ecole Arts Et Métiers Paristech <>
Submitted on : Friday, December 5, 2008 - 8:00:00 AM
Last modification on : Saturday, February 15, 2020 - 1:45:52 AM
Long-term archiving on: : Friday, September 10, 2010 - 12:49:24 PM

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  • HAL Id : pastel-00004241, version 1

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Ludovic Humbert. Contribution à l'automatisation du traitement des radiographies du système ostéoarticulaire pour la modélisation géométrique et l'analyse clinique. Sciences du Vivant [q-bio]. Arts et Métiers ParisTech, 2008. Français. ⟨NNT : 2008ENAM0023⟩. ⟨pastel-00004241⟩

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