DocumentCode :
2086440
Title :
Reconstruction of Patient Specific Models of Femur for Surgery of Avascular Necrosis of Femoral Head
Author :
Song, Wei Wei ; Liu, Bin ; Ou, Zong Ying ; De wei Zhao ; Wang, Wei Ming ; Han, Jun
Author_Institution :
Dalian Univ. of Technol., Dalian
fYear :
2007
fDate :
23-27 May 2007
Firstpage :
661
Lastpage :
665
Abstract :
We developed a new reverse engineering based method for the reconstruction of patient specific models of femoral head for surgery of ANFH. Three dimensional models were reconstructed from the 3D CT dataset and approximated with 3D fitting algorithms based on reverse engineering. In this paper, a strategy of classifying femur from hip joint CT datasets based on Active Shape Model was introduced, a curvature based reduction method was applied to reduce the noise or redundancy points in the point cloud of femur and a surface reconstruction method from point cloud was analyzed too. In order to regain the spherical surface of collapsing femoral head, a fitting algorithm, which is the optimal least squares spherical approximation to a 3D point cloud was used. Comparing the fitting models with their original shapes by overlapping them, we found that only part regions have little deviation. The results show that the fitting models and their original models are matching strictly.
Keywords :
bone; image reconstruction; least squares approximations; medical image processing; reverse engineering; surgery; 3D computerized tomography; 3D fitting algorithms; active shape model; avascular necrosis; femoral head; hip joint; least squares spherical approximation; patient specific models; reverse engineering; surgery; Active noise reduction; Active shape model; Clouds; Hip; Least squares approximation; Noise shaping; Reverse engineering; Surface fitting; Surface reconstruction; Surgery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1077-4
Electronic_ISBN :
978-1-4244-1078-1
Type :
conf
DOI :
10.1109/ICCME.2007.4381820
Filename :
4381820
Link To Document :
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