• français
    • English
    English
  • Ouvrir une session
Aide
Voir le document 
  •   Accueil de SAM
  • Institut de Biomécanique Humaine Georges Charpak (IBHGC)
  • Voir le document
  • Accueil de SAM
  • Institut de Biomécanique Humaine Georges Charpak (IBHGC)
  • Voir le document
JavaScript is disabled for your browser. Some features of this site may not work without it.

Quasi-automatic 3D reconstruction of the full spine from low-dose biplanar X-rays based on statistical inferences and image analysis

Article dans une revue avec comité de lecture
Auteur
EBRAHIMI, Shahin
ccSKALLI, Wafa
ANGELINI, Elsa D.
300362 Télécom ParisTech
ccGAJNY, Laurent
466360 Institut de Biomecanique Humaine Georges Charpak
ccVERGARI, Claudio
34256 École nationale vétérinaire d'Alfort [ENVA]
37861 Biomécanique et Pathologie Locomotrice du Cheval [BPLC]
99538 Laboratoire de biomécanique [LBM]
169802 University of Exeter

URI
http://hdl.handle.net/10985/15785
Date
2018
Journal
European Spine Journal

Résumé

Purpose: 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.

Fichier(s) constituant cette publication

Nom:
IBHGC_ESJO_2019_GAJNY.pdf
Taille:
738.2Ko
Format:
PDF
Fin d'embargo:
2019-04-30
Voir/Ouvrir

Cette publication figure dans le(s) laboratoire(s) suivant(s)

  • Institut de Biomécanique Humaine Georges Charpak (IBHGC)

Documents liés

Visualiser des documents liés par titre, auteur, créateur et sujet.

  • Vertebral rotation estimation from frontal X-rays using a quasi-automated pedicle detection method 
    Article dans une revue avec comité de lecture
    EBRAHIMI, Shahin; ccSKALLI, Wafa; ANGELINI, Elsa D.; ccGAJNY, Laurent; ccVERGARI, Claudio (Springer Verlag, 2019)
    Purpose Measurement of vertebral axial rotation (VAR) is relevant for the assessment of scoliosis. Stokes method allows estimating VAR in frontal X-rays from the relative position of the pedicles and the vertebral body. ...
  • Automatic Segmentation and Identification of Spinous Processes on Sagittal X-Rays Based on Random Forest Classification and Dedicated Contextual Features 
    Communication avec acte
    EBRAHIMI, Shahin; ccSKALLI, Wafa; ANGELINI, Elsa D.; ccGAJNY, Laurent (IEEE, 2019)
    X-ray based quantitative analysis of spine parameters is required in routine diagnosis or treatment planning. Existing tools commonly require manual intervention. Attempts towards automation of the whole procedure have ...
  • Vertebral corners detection on sagittal X-rays based on shape modelling, random forest classifiers and dedicated visual features 
    Article dans une revue avec comité de lecture
    EBRAHIMI, Shahin; ccSKALLI, Wafa; ANGELINI, Elsa D.; ccGAJNY, Laurent (Taylor & Francis, 2018)
    Quantitative measurements of spine shape parameters on planar X-ray images is critical for clinical applications but remains tedious and with no fully-automated solution demonstrated on the whole spine. This study aims to ...
  • Lumbar spine posterior corner detection in X-rays using Haar-based features 
    Communication avec acte
    EBRAHIMI, Shahin; ccSKALLI, Wafa; ANGELINI, Elsa D.; ccGAJNY, Laurent (IEEE, 2016)
    3D reconstruction of the spine using biplanar X-rays remains approximate and requires human-machine interactions to adjust the position of important features such as vertebral corners and endplates. The purpose of this ...
  • Automated Spinal Midline Delineation on Biplanar X-Rays Using Mask R-CNN 
    Communication avec acte
    YANG, Zixin; ccSKALLI, Wafa; ccGAJNY, Laurent; ANGELINI, Elsa D.; ccVERGARI, Claudio (Springer International Publishing, 2019)
    Manually annotating medical images with few landmarks to initialize 3D shape models is a common practice. For instance, when reconstructing the 3D spine from biplanar X-rays, the spinal midline, passing through vertebrae ...

Parcourir

Tout SAMLaboratoiresAuteursDates de publicationCampus/InstitutsCe LaboratoireAuteursDates de publicationCampus/Instituts

Lettre Diffuser la Science

Dernière lettreVoir plus

Statistiques de consultation

Publications les plus consultéesStatistiques par paysAuteurs les plus consultés

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales