Multi-objective optimisation of stent dilation strategy in a patient-specific coronary artery via computational and surrogate modelling

Abstract

Multi-objective optimisation of stent dilation strategy in a patient-specific coronary artery via computational and surrogate modeling This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. vessel trauma is the damage caused by balloon dilation during stent deployment. In the present work, a Kriging based response surface modelling approach has been implemented to search for optimum stent deployment strategies in a clinically challenging, patient specific diseased coronary artery. In particular, the aims of this study were: i) to understand the impact of the balloon pressure and unpressurised diameter on stent malapposition, drug distribution and wall stresses via computer simulations and ii) obtain potentially optimal dilation protocols to simultaneously minimise stent malapposition and tissue wall stresses and maximise drug diffusion in the tissue. The results indicate that SM is inversely proportional to tissue stresses and drug deliverability. After analytical multi-objective optimisation, a set of "non-dominated" dilation scenarios was proposed as a post-optimisation methodology for protocol selection. Using this method, it has been shown that, for a given patient specific model, optimal stent expansion can be predicted. Such a framework could potentially be used by interventional cardiologists to minimise stent malapposition and tissue stresses whilst maximising drug deliverability in any patient-specific case.3

Applied Process Simulation-Driven Oil and Gas Separation Plant Optimization Using Surrogate Modeling and Evolutionary Algorithms

“…If this also fails, the current simulation case is closed, and a fresh start is made from the base case simulation. The sampling plan and associated output generated by the process simulation is used to train a Kriging model [23][24][25] using the pyKriging package [16,26,27]. See also [22,28,29] for more information about Kriging in chemical engineering applications.…”

Predictive prosthetic socket design: part 1—population-based evaluation of transtibial prosthetic sockets by FEA-driven surrogate modelling

“…However, there are substantial barriers to clinical implementation of these techniques including difficulty in obtaining imaging data, lengthy solver times for the models and the need for a trained user to develop and interpret the FE model (Dickinson et al 2017 ). Further, despite the first FE model of a lower limb amputee being published in 1988 (Reynolds 1988 ), research in this field has not advanced at the rate of many implanted prosthetic devices where tools to simulate the variation in performance across a population are well established (Bryan et al 2010 ; Taylor and Prendergast 2015 ; Ragkousis et al 2016 ) or in the prediction of sub-dermal soft tissue strains during seating (Al-Dirini et al 2016 ; Luboz et al 2017 ). This provides the motivation and objective for the present study, which aimed to develop a surrogate model to allow equivalent predictions to single FEA solutions, across a broad population of anatomical, surgical and design variability, with sufficiently reduced computational expense for clinical use.…”

Introduction of a New ex vivo Porcine Coronary Artery Model: Evaluation of the Direct Vascular Injury after Stent Implantation with and without Dogbone Effect

“…Reproducible experimental conditions exclude technical impairments that might cause different vessel injuries: Vessel dimensions (D Mean , D Prox , D Dist ) used in both study groups were comparable. Our SI procedure prevented differences in overstretching injury [24]. Vessel fixation with the small weight has the same influence on all investigated stents.…”