In-vivo Assessment of Valvular Function: an Inverse Modeling Approach

Aggarwal, A. and Sacks, M.S. (2014) In-vivo Assessment of Valvular Function: an Inverse Modeling Approach. In: Joint 11th World Congress on Computational Mechanics, WCCM 2014, the 5th European Conference on Computational Mechanics, ECCM 2014 and the 6th European Conference on Computational Fluid Dynamics, ECFD 2014, Barcelona, Spain, 20-25 July 2014, ISBN 9788494284472

Abstract

Heart valves control the blood flow and play an extremely important role in the functioning of heart. Either due to congenital defects or due to the changes with remodeling, the leaflets functionality is altered sometimes resulting in less efficient heart output. Such problems are difficult to diagnose at an early stage and may lead to heart failure if left untreated. In this work, we present a framework for determining the functional properties of heart valve leaflets from non-invasive imaging modules, with the main focus being on the inverse model development. As a first step, we use in-vitro experimental data from porcine bioprosthetic heart valve in a flow loop. We present the details of inverse model, its validation against experimental data and sensitivity to various input parameters and optimization constraints. In addition, we discuss other components of this in-vivo assessment tool - the average fiber architecture and the pre-strain in valve leaflets. This information when combined with the inverse model presented in this work will lead to an in-vivo assessment tool for heart valves and help diagnose problems in the mechanical functionality at an early stage. Additionally, this approach will have the potential to serve as a general-purpose in-vivo assessment tool for heart valves - for evaluating the performance of replaced prosthetic valves as well as monitoring the progression of valve diseases.

• Item Type: Conference Proceedings
• Additional Information: 11th World Congress on Computational Mechanics, WCCM 2014, 5th European Conference on Computational Mechanics, ECCM 2014 and 6th European Conference on Computational Fluid Dynamics, ECFD 2014. 1 July 2014, Pages 5605-5613.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Aggarwal, Dr Ankush
• Authors: Aggarwal, A., and Sacks, M.S.
• College/School: College of Science and Engineering > School of Engineering > Infrastructure and Environment
• ISBN: 9788494284472