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
Link To Document