title: 3-D reconstruction of a surface model of the proximal femur from digital biplanar radiographs.
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.
authors.affiliation: MEM Research Center, University of Bern, CH-3014, Bern, Switzerland. guoyan.zheng@ieee.org
authors.forename: Guoyan
authors.initials: G
authors.lastname: Zheng
authors.forename: Steffen
authors.initials: S
authors.lastname: Schumann
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D005270:Femur Head / Q000000981:diagnostic imaging* / Q000473:pathology*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D066298:In Vitro Techniques; D008953:Models, Anatomic; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity