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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4650429