A pedicle screw fixation has been widely used to treat spinal diseases. Clinical reports have shown that the weakest part of the spinal fixator is the pedicle screw. However, previous studies have only focused on either screw breakage or screw loosening. There have been no studies that have addressed the multiobjective design optimization of the pedicle screws. The multiobjective optimization methodology was applied and it consisted of finite element method, Taguchi method, artificial neural networks, and genetic algorithms. Three-dimensional finite element models for both the bending strength and the pullout strength of the pedicle screw were first developed and arranged on an orthogonal array. Then, artificial neural networks were used to create two objective functions. Finally, the optimum solutions of the pedicle screws were obtained by genetic algorithms. The results showed that the optimum designs had higher bending and pullout strengths compared with commercially available screws. The optimum designs of pedicle screw revealed excellent biomechanical performances. The neurogenetic approach has effectively decreased the time and effort required for searching for the optimal designs of pedicle screws and has directly provided the selection information to surgeons.
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September 2010
Research Papers
A Neurogenetic Approach to a Multiobjective Design Optimization of Spinal Pedicle Screws
Ching-Kong Chao
,
Ching-Kong Chao
Department of Mechanical Engineering,
National Taiwan University of Science and Technology
, Taipei, 106, Taiwan , R.O.C
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Jinn Lin
,
Jinn Lin
Department of Orthopedic Surgery,
National Taiwan University Hospital
, Taipei, 100, Taiwan, R.O.C
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Sandy Tri Putra
,
Sandy Tri Putra
Department of Mechanical Engineering,
National Taiwan University of Science and Technology
, Taipei, 106, Taiwan, R.O.C
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Ching-Chi Hsu
Ching-Chi Hsu
Graduate Institute of Engineering,
hsucc@mail.ntust.edu.tw
National Taiwan University of Science and Technology
, Taipei, 106, Taiwan, R.O.C
Search for other works by this author on:
Ching-Kong Chao
Department of Mechanical Engineering,
National Taiwan University of Science and Technology
, Taipei, 106, Taiwan , R.O.C
Jinn Lin
Department of Orthopedic Surgery,
National Taiwan University Hospital
, Taipei, 100, Taiwan, R.O.C
Sandy Tri Putra
Department of Mechanical Engineering,
National Taiwan University of Science and Technology
, Taipei, 106, Taiwan, R.O.C
Ching-Chi Hsu
Graduate Institute of Engineering,
National Taiwan University of Science and Technology
, Taipei, 106, Taiwan, R.O.Chsucc@mail.ntust.edu.tw
J Biomech Eng. Sep 2010, 132(9): 091006 (6 pages)
Published Online: August 17, 2010
Article history
Received:
January 19, 2010
Revised:
May 26, 2010
Posted:
May 27, 2010
Published:
August 17, 2010
Online:
August 17, 2010
Citation
Chao, C., Lin, J., Putra, S. T., and Hsu, C. (August 17, 2010). "A Neurogenetic Approach to a Multiobjective Design Optimization of Spinal Pedicle Screws." ASME. J Biomech Eng. September 2010; 132(9): 091006. https://doi.org/10.1115/1.4001887
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