Digitalized scoliosis correction based on finite element simulation(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2021年第8期
- Page:
- 1033-1038
- Research Field:
- 生物材料与力学
- Publishing date:
Info
- Title:
- Digitalized scoliosis correction based on finite element simulation
- Author(s):
- SHENG Ran1; JIANG Guozhang1; LIU Rong2
- 1. School of Mechanical Automation, Wuhan University of Science and Technology, Wuhan 430081, China 2. Department of Orthopedics, Wuhan Puren Hospital, Wuhan 430081, China
- Keywords:
- Keywords: scoliosis orthopedics digitalization finite element simulation
- PACS:
- R318
- DOI:
- DOI:10.3969/j.issn.1005-202X.2021.08.022
- Abstract:
- Abstract: Objective To study the relationship between orthopedic angle and orthopedic load after extracting the digital information from the entire spine of patients with scoliosis, and to perform three-dimensional reconstruction of the scoliosis spine based on the CT data for verifying the reliability of the correction scheme, thereby providing patients with the optimal individualized scoliosis correction scheme. Methods According to the CT data, the scoliosis spine was digitally modeled in MATLAB software, and the relationship between orthopedic angle and orthopedic load was derived based on the principles of mechanics, so as to determine the optimal scoliosis correction scheme. Mimics19.0, 3-Matic and other medical three-dimensional software were used to complete the three-dimensional reconstruction of the scoliosis, and the efficacy of the scoliosis correction scheme was verified using a finite element simulation based on AnsysWorkbench. Results The reconstructed three-dimensional model of the spine could accurately reflect the actual scoliosis, and the optimal correction scheme calculated by MATLAB software could be verified by finite element simulation. Conclusion Scoliosis correction based on digital three-dimensional reconstruction can provide the optimal scoliosis correction scheme for the patients individual situation, and assist the clinicians to choose a treatment plan that meets the actual needs of the patients.
Last Update: 2021-07-31