title: Global registration of multiple bone fragments using statistical atlas models: feasibility experiments.
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.
authors.affiliation: Department of Electrical & Computer Engineering, Queen's University, Kingston, Ontario, Canada.
authors.forename: Mehdi Hedjazi
authors.initials: MH
authors.lastname: Moghari
authors.forename: Purang
authors.initials: P
authors.lastname: Abolmaesumi
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D005240:Feasibility Studies; D005264:Femoral Fractures / Q000000981:diagnostic imaging*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008954:Models, Biological; D015233:Models, Statistical; D010363:Pattern Recognition, Automated / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D014057:Tomography, X-Ray Computed / Q000379:methods*