• DocumentCode
    3059154
  • Title

    3-D reconstruction of a surface model of the proximal femur from digital biplanar radiographs

  • Author

    Zheng, Guoyan ; Schumann, Steffen

  • Author_Institution
    MEM Research Center, University of Bern, CH-3014, Switzerland
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    66
  • Lastpage
    69
  • Abstract
    Twenty-two femurs (one plastic bone and twenty-one cadaveric bones) with both nonpathologic and pathologic cases were considered to validate a point distribution model based three-dimensional (3-D) reconstruction technique using digital biplanar radiographs. The 3-D reconstruction technique is based on an iterative non-rigid registration of the features extracted from a statistically instantiated 3-D surface model to those identified from the radiographs. The surface models reconstructed from the radiographs were compared to the associated ground truths derived either from a 3-D CT-scan reconstruction method or from a 3-D laser-scan reconstruction method. Our experimental results demonstrated that our biplanar reconstruction technique could accurately reconstruct the surface models of both nonpathologic and pathologic femurs (average error distance = 0.9 mm), even when the point distribution model that we used were constructed from surface models of nonpathologic femurs.
  • Keywords
    Bones; Diagnostic radiography; Image reconstruction; Magnetic resonance imaging; Navigation; Orthopedic surgery; Reconstruction algorithms; Spine; Surface reconstruction; Three dimensional displays; Algorithms; Computer Simulation; Femur Head; Humans; Imaging, Three-Dimensional; Models, Anatomic; Pattern Recognition, Automated; Radiographic Image Enhancement; Reproducibility of Results; Sensitivity and Specificity;
  • 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.2008.4649092
  • Filename
    4649092