Symbolic regression metamodel-based optimal design of patient-specific spinal implant (pedicle screw fixation)

被引：0
作者：
Jayanta Kumar Biswas
Kanak Kalita
Amit Roychowdhury
机构：
[1] Indian Institute of Engineering,Department of Aerospace Engineering and Applied Mechanics
[2] Science and Technology,Department of Mechanical Engineering
[3] JIS College of Engineering,Department of Mechanical Engineering
[4] Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,undefined
来源：
Engineering with Computers | 2022年 / 38卷
关键词：
Finite element analysis; Implant design; Lumbar vertebra; Metamodel; Optimization; Regression;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Pedicle screw-rod insertion is a common surgical procedure used for treating degenerative spinal diseases. Optimized design of such implants is necessary to avoid undue strains at the bone–implant interface. In this work, ideal optimized implant design is defined as one for which the strain difference between intact bone and bone after implantation at six interfacial positions is zero. To achieve this, genetic programming (GP) based symbolic regression (SR) metamodels are built from limited data obtained from expensive but highly accurate finite element (FE) models. The FE models are generated from CT scan data. A cumulative objective function is expressed in terms of GP-based SR metamodels which is then combined with a genetic algorithm (GA) to predict patient-specific optimum implant designs.
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页码：999 / 1014
页数：15
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