• DocumentCode
    3084436
  • Title

    Global registration of multiple bone fragments using statistical atlas models: Feasibility experiments

  • Author

    Moghari, Mehdi Hedjazi ; Abolmaesumi, Purang

  • Author_Institution
    Department of Electrical & Computer Engineering, Queen´´s University, Kingston, Ontario, Canada
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    5374
  • Lastpage
    5377
  • Abstract
    We propose a new technique to automatically register multiple bone fragments of a fracture using a global registration method guided by a statistical anatomical atlas model. The atlas is created by using the principal component analysis of three-dimensional meshes generated from the Computed Tomography (CT) data of five left femur bone cadavers. The fracture fragments are initially aligned to the generated atlas by using a local point descriptor which can robustly identify a set of potential corresponding points among fragments and the mean atlas model. A global registration algorithm is then utilized to fine-tune the alignment among the fractures and the mean atlas model. Performed experimental simulations on the human femur bone cadavers verify the feasibility of the proposed registration algorithm.
  • Keywords
    Application software; Bones; Cadaver; Computed tomography; Humans; Orthopedic surgery; Principal component analysis; Registers; Robustness; Shape; Algorithms; Artificial Intelligence; Computer Simulation; Data Interpretation, Statistical; Feasibility Studies; Femoral Fractures; Humans; Imaging, Three-Dimensional; Models, Biological; Models, Statistical; Pattern Recognition, Automated; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique; Tomography, X-Ray Computed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4650429
  • Filename
    4650429