Tao Liu, Yonghua Lu, Yun Zhu, Zhanxiang Cui, Ziyuan Wang
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引用次数: 0
Abstract
Aim
Taylor spatial frame (TSF) is a kind of six-axis external fixator based on Stewart platform, which is widely used in the fields of trauma orthopaedics and orthopaedic reconstruction.
Purpose
To reduce the irregular movement of TSF's moving platform during orthopaedic process and decrease the risk of complications caused by collision between bone and surrounding tissue.
Method
We combine the kinematics solutions with the multi-objective genetic algorithm and ant colony optimization to get the optimal solution for adjustment of strut length and order. We conduct simulation and physical experiment of orthodontic process respectively to prove the effectiveness of our method.
Result
After optimization, the average offset during a single adjustment is less than 1 mm, and the offset during the whole orthopaedic process is reduced by about 38.8%.
Conclusion
It demonstrates that our method can effectively reduce the offset of moving platform while ensuring orthopaedic accuracy.
期刊介绍:
The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.