DocumentCode
1669258
Title
Parameter Optimization and Analysis on Surgery for Fracture of the Femur Neck Based on QCT
Author
Wang, Tianmiao ; Pei, Baoqing ; Wang, Junqiang
Author_Institution
Sch. of Mech. Eng. & Autom., BeiHang Univ., Beijing
fYear
2008
Firstpage
1809
Lastpage
1812
Abstract
Close reduction and internal fixation with 3 hollow annulated screws is a common method for treating fractures of the femur neck. The parameters, for example fracture face angle, empty screw distribution and position, are important to the surgery. These parameters are influence on the surgical effect directly. According to the results of mechanical experiments and QCT (Quantitative computed tomography) images, a finite element models of the proximal femur was established, which effect the anisotropic mechanical property of the femur. The optimized operation parameters can be obtained according to the theory of biomechanical. The data that are influence on the effect of the surgery were analyzed and compared. They are relative displacement between the fracture plane, the strain at the bottom of the nail hole, the maximal stress of the nail. After compared and analysis, the reasonable surgery parameters of the internal fixation to femoral neck fracture were obtained. And the parameters can be used on the medical robot surgery programming and navigation.
Keywords
biomechanics; computerised tomography; finite element analysis; fracture; medical robotics; optimisation; surgery; empty screw distribution; empty screw position; femur neck fracture; finite element models; fracture face angle; internal fixation; medical robot surgery; parameter optimization; quantitative computed tomography; Anisotropic magnetoresistance; Capacitive sensors; Computed tomography; Fasteners; Finite element methods; Mechanical factors; Nails; Neck; Stress; Surgery;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1747-6
Electronic_ISBN
978-1-4244-1748-3
Type
conf
DOI
10.1109/ICBBE.2008.781
Filename
4535661
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