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

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 differen...

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Bibliographic Details
Published in:Engineering with computers 2022-04, Vol.38 (2), p.999-1014
Main Authors: Biswas, Jayanta Kumar, Kalita, Kanak, Roychowdhury, Amit
Format: Article
Language:English
Subjects:
CAE) and Design
Calculus of Variations and Optimal Control
Optimization
Classical Mechanics
Computed tomography
Computer Science
Computer-Aided Engineering (CAD
Control
Design optimization
Finite element method
Genetic algorithms
Math. Applications in Chemistry
Mathematical and Computational Engineering
Metamodels
Original Article
Pedicle screws
Systems Theory
Transplants & implants
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Summary: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.
ISSN:0177-0667
1435-5663
DOI:10.1007/s00366-020-01090-z