Contrôle d'un bioréacteur à perfusion pour la régénération du tissu vasculaire
|Abstract:||The limited availability of autologous blood vessels for bypass surgeries (coronary or peripheral) and the poor patency rate of vascular prosthesis for the replacement of small diameter vessels (Ø < 6 mm) motivate researches in the domain of vascular tissue engineering. One of the possible strategies named functional tissue engineering aims to regenerate a blood vessel in vitro in a controlled environment. The objective of this thesis is to design a perfusion bioreactor and develop a control system able to dynamically interact with a growing blood vessel in order to guide and stimulate the maturation of the vascular construct. The principal question addressed in this work is: How to choose culture conditions in a bioreactor in the most efficient way? Two main challenges have been identified: first, the need to develop a better comprehension of the physical and biological phenomenon occurring in bioreactors; second, the need to influence and optimize vascular tissue maturation. A controller based on the concept of genetic programming was developed for real-time modeling of vascular tissue regeneration. Using the produced models, the controller searches an optimal culture strategy (circumferential strain, longitudinal shear stress and frequency of the pulsed pressure signal) by the mean of a Markov decision process solved by dynamic programming. Numerical simulations showed that the method has the potential to improve growth, safety of the process, and information gathering. The controller is able to work with common nonlinearities in tissue growth. Experimental results show that the controller is able to identify important culture parameters for the growth and remodelling of tissue engineered blood vessels. Furthermore, this bioreactor represents an interesting tool to study the evolution of the mechanical properties of a vascular construct during maturation.|
|Document Type:||Thèse de doctorat|
|Open Access Date:||18 April 2018|
|Collection:||Thèses et mémoires|
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