Finite element analysis to model complex mitral valve repair

2014 ◽  
Vol 24 (1) ◽  
pp. 60-62 ◽  
Author(s):  
Michel Labrosse ◽  
Thierry Mesana ◽  
Ian Baxter ◽  
Vincent Chan
2016 ◽  
Vol 206 (1) ◽  
pp. 98-105 ◽  
Author(s):  
Ashley E. Morgan ◽  
Joe L. Pantoja ◽  
Eugene A. Grossi ◽  
Liang Ge ◽  
Jonathan W. Weinsaft ◽  
...  

Author(s):  
Donal P. Finn

This paper describes work in progress aimed at developing an interactive modeling tool that assists engineers with the task of physical modeling in finite element analysis. Physical modeling precedes the numerical simulation phase of finite element analysis and involves applying modeling idealizations to real world physical systems so that complex engineering problems are more amenable to numerical computation. In the paper, the nature of physical modeling is explored, a cognitive model of how engineers are thought to model complex problems is described and based on this model a knowledge-based modeling assistant is proposed. The AI approach taken is based on Chandrasekaran's propose-critique-modify design model adapted for the task of physical modeling. Within this framework, the AI paradigms of case-based reasoning, derivational analogy and model-based reasoning are exploited. By representing fundamental thermal modeling scenarios as cases, complex physical systems can be modeled in a piecewise fashion. Derivational analogy permits generative adaptation of retrieved cases by using model-based engineering traces thereby providing a basis for critiquing case solutions. An initial prototype is described which has been implemented for the domain of convection heat transfer analysis.


2008 ◽  
Vol 41 ◽  
pp. S119
Author(s):  
Gaurav Krishnamurthy ◽  
Daniel B. Ennis ◽  
Akinobu Itoh ◽  
Wolfgang Bothe ◽  
Julia Swanson ◽  
...  

Author(s):  
Samuel Frishman ◽  
Annabel M. Imbrie-Moore ◽  
Mark R. Cutkosky ◽  
Ali Kight ◽  
Ileana Pirozzi ◽  
...  

Abstract Mitral valve (MV) annular dynamics are critical to the long term efficacy of MV repair. Today’s annuloplasty rings, used to restore MV function, impose significant constraints on the motion profile of the MV annulus. We present a selectively compliant ring that provides sufficient stiffness to stabilize a diseased annulus while allowing physiological annular dynamics. Ring design is informed by a finite element analysis and experimentally evaluated with in-vitro stereophotogrammetry. We compare the ring dynamics to commercially available semi-rigid rings as well as values found in literature for healthy annuli. The results demonstrate that motion of the selectively compliant ring is significantly closer to that of a healthy annulus based on standard metrics that define MV annular movement. Specifically, the metrics for the new ring compare to those in literature as follows: change in orifice area 12.5 ± 3% vs.10 ± 2%; change in anterior-posterior diam. 5.4 ± 0.3% vs. 7 ± 1%; change in inter-commissural diam. 6.6 ± 1.3% vs. 5 ± 1%.


2014 ◽  
Vol 24 (1) ◽  
pp. 341-347 ◽  
Author(s):  
Ahnryul Choi ◽  
Yonghoon Rim ◽  
Jeffrey S. Mun ◽  
Hyunggun Kim

Author(s):  
Gaurav Krishnamurthy ◽  
Akinobu Itoh ◽  
Wolfgang Bothe ◽  
Daniel B. Ennis ◽  
Julia C. Swanson ◽  
...  

Mitral valve (MV) disease affects millions worldwide. An important goal of present-day heart valve research is to create bioengineered tissue valves to replace diseased mitral valves, if it is judged that mitral repair will not be durable. The design of such valves will pivot on understanding the stresses acting in the native MV leaflets to design a bioprosthesis which will withstand these stresses. In order to quantify such stresses in vivo, we utilized radiopaque marker technology and performed an “inverse” finite element analysis of the resulting 4-D data to determine the material properties of the anterior MV leaflet in the beating ovine heart. We then used these material properties in a “forward” finite element analysis to estimate the stresses in the native anterior MV leaflet.


2017 ◽  
Vol 8 (1) ◽  
pp. 3-16 ◽  
Author(s):  
Thuy Pham ◽  
Fanwei Kong ◽  
Caitlin Martin ◽  
Qian Wang ◽  
Charles Primiano ◽  
...  

2019 ◽  
Vol 157 (4) ◽  
pp. e149-e151 ◽  
Author(s):  
Francesco Nappi ◽  
David Attias ◽  
Sanjeet Singh Avtaar Singh ◽  
Victorien Prot

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