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Design optimisation of coronary artery stent systems

Design optimisation of coronary artery stent systems
Design optimisation of coronary artery stent systems

In recent years, advances in computing power and computational methods have made it possible to perform detailed simulations of the coronary artery stenting procedure and of related virtual tests of performance (including fatigue resistance, corrosion and haemodynamic disturbance). Simultaneously, there has been a growth in systematic computational optimisation studies, largely exploiting the suitability of surrogate modelling methods to time-consuming simulations. To date, systematic optimisation has focussed on stent shape optimisation and has re-affirmed the complexity of the multi-disciplinary, multi-objective problem at hand. Also, surrogate modelling has predominantly involved the method of Kriging. Interestingly, though, optimisation tools, particularly those associated with Kriging, haven't been used as efficiently as they could have been. This has especially been the case with the way that Kriging predictor functions have been updated during the search for optimal designs. Nonetheless, the potential for future, carefully posed, optimisation strategies has been suitably demonstrated, as described in this review.

Animals, Computer Simulation, Coronary Vessels/physiopathology, Humans, Models, Cardiovascular, Prosthesis Design, Stents
0090-6964
357-367
Bressloff, Neil W.
4f531e64-dbb3-41e3-a5d3-e6a5a7a77c92
Ragkousis, Giorgos
7812fa1c-12d2-49a9-ac07-654bb1b32a4c
Curzen, Nick
70f3ea49-51b1-418f-8e56-8210aef1abf4
Bressloff, Neil W.
4f531e64-dbb3-41e3-a5d3-e6a5a7a77c92
Ragkousis, Giorgos
7812fa1c-12d2-49a9-ac07-654bb1b32a4c
Curzen, Nick
70f3ea49-51b1-418f-8e56-8210aef1abf4

Bressloff, Neil W., Ragkousis, Giorgos and Curzen, Nick (2016) Design optimisation of coronary artery stent systems. Annals of Biomedical Engineering, 44 (2), 357-367. (doi:10.1007/s10439-015-1373-9).

Record type: Review

Abstract

In recent years, advances in computing power and computational methods have made it possible to perform detailed simulations of the coronary artery stenting procedure and of related virtual tests of performance (including fatigue resistance, corrosion and haemodynamic disturbance). Simultaneously, there has been a growth in systematic computational optimisation studies, largely exploiting the suitability of surrogate modelling methods to time-consuming simulations. To date, systematic optimisation has focussed on stent shape optimisation and has re-affirmed the complexity of the multi-disciplinary, multi-objective problem at hand. Also, surrogate modelling has predominantly involved the method of Kriging. Interestingly, though, optimisation tools, particularly those associated with Kriging, haven't been used as efficiently as they could have been. This has especially been the case with the way that Kriging predictor functions have been updated during the search for optimal designs. Nonetheless, the potential for future, carefully posed, optimisation strategies has been suitably demonstrated, as described in this review.

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More information

Accepted/In Press date: 23 June 2015
e-pub ahead of print date: 17 July 2015
Published date: February 2016
Keywords: Animals, Computer Simulation, Coronary Vessels/physiopathology, Humans, Models, Cardiovascular, Prosthesis Design, Stents

Identifiers

Local EPrints ID: 436086
URI: http://eprints.soton.ac.uk/id/eprint/436086
ISSN: 0090-6964
PURE UUID: 9b24a9e2-b095-43ef-a11e-1a92d8dedb2b

Catalogue record

Date deposited: 27 Nov 2019 17:30
Last modified: 27 Nov 2019 17:30

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