DI-UMONS : Dépôt institutionnel de l’université de Mons

Recherche transversale
(titres de publication, de périodique et noms de colloque inclus)
2013-06-26 - Article/Dans un journal avec peer-review - Anglais - 1 page(s)

Larhmam Mohamed , Benjelloun Mohammed , Mahmoudi Said , "A model-based approach for cervical spine mobility analysis" in Computer Assisted Radiology and Surgery : 27th international congress and exhibition, Volume 8, Supplement 1, S291-S292, DOI 10.1007/s11548-013-0880-0

  • Codes CREF : Techniques d'imagerie et traitement d'images (DI2770), Intelligence artificielle (DI1180), Imagerie médicale, radiologie, tomographie (DI3243)
  • Unités de recherche UMONS : Informatique (F114)
  • Instituts UMONS : Institut de Recherche en Technologies de l’Information et Sciences de l’Informatique (InforTech)

Abstract(s) :

(Anglais) The purpose of this study is dedicated to cervical vertebra mobility analysis in conventional radiography. Indeed, vertebra detection and segmentation present an essential step toward spine motion study. However, this task becomes more challenging in conventional radiography due to low contrast and noise noticed in this medical image modality. Based on our previous work on semi-automatic detection of vertebra [1], we propose in this paper a robust method for cervical vertebra body identification and segmentation in X-ray images. This new method enables to compute the parameters used for vertebra motion analysis.

Mots-clés :
  • (Anglais) Medical imaging
  • (Anglais) K-means
  • (Anglais) Vertebra segmentation
  • (Anglais) Hough transform