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Design Optimisation of Coronary Artery Stent Systems
Neil W Bressloff1, Giorgos Ragkousis2, Nick Curzen3,4
1Faculty of Engineering & the Environment, Southampton Boldrewood Innovation Campus, University of Southampton, Southampton, SO16 7QF, UK. n.w.bressloff@soton.ac.uk.
Annals of Biomedical Engineering
|July 18, 2015
Summary
Computational methods now enable detailed simulations for coronary artery stenting. This review highlights opportunities to improve optimization strategies for stent design, particularly using Kriging methods more effectively.
Area of Science:
- Biomedical Engineering
- Computational Mechanics
- Medical Device Design
Background:
- Advances in computing power facilitate detailed simulations of coronary artery stenting.
- Virtual testing assesses stent performance, including fatigue resistance, corrosion, and hemodynamic disturbance.
- Computational optimization studies are increasingly used, leveraging surrogate modeling for complex simulations.
Purpose of the Study:
- To review the current state of computational optimization in coronary artery stent design.
- To identify inefficiencies in the application of optimization tools, especially Kriging methods.
- To highlight the potential for improved optimization strategies in stent design.
Main Methods:
- Detailed computational simulations of the coronary artery stenting procedure.
- Virtual performance testing (fatigue, corrosion, hemodynamics).
- Systematic computational optimization studies, primarily using Kriging surrogate modeling.
Main Results:
- Stent shape optimization has confirmed the complexity of this multi-disciplinary, multi-objective problem.
- Kriging has been the predominant surrogate modeling method.
- Optimization tools, particularly Kriging, have not been utilized with maximum efficiency, especially in updating predictor functions.
Conclusions:
- There is significant potential for enhanced computational optimization strategies in coronary artery stent design.
- More efficient application of Kriging and other surrogate modeling techniques can improve the design process.
- Future research should focus on refining optimization approaches for better stent performance and patient outcomes.
