Mitral valve (MV) repair is the preferred treatment in patients with MV insufficiency. The unsolved problem in MV repair surgery is predicting which repair is optimal for each patient. Much of the difficulty lies in not precisely understanding MV physiology which predisposes it to dysfunction and insufficiency. If imaging techniques can be combined with appropriate computational MV evaluation methods, then improved diagnosis and therapeutic approaches to MV repair can be developed. Current clinical three-dimensional (3-D) echocardiography can demonstrate excellent volumetric morphology of the MV apparatus. We have developed novel computational techniques for structural and fluid dynamic evaluation to determine cardiac valve pathophysiology. The combination of 3-D echocardiography and our computational simulation techniques can provide a powerful tool to evaluate complex structural and functional information of the MV apparatus. The team for the proposed project has demonstrated capability in computational modeling of valve dynamics and in clinical echocardiographic studies to successfully complete the project. Our principal aim is to develop a novel computational technique combining 3-D echocardiography with finite element (FE) and fluid-structure interaction (FSI) analyses to evaluate the effects of MV morphology (normal vs. diseased valves, and pre- vs. post-repair) on MV function. To this end, we will;1) develop an integrated modeling platform to create a virtual MV model from 3-D transesophageal echocardiography for computational simulation and analysis;2) determine the consequences of geometric alterations of the MV complex by comparative dynamic FE evaluations on normal, diseased, and repaired MVs;and 3) employ a comprehensive, state-of-the-art 3-D FSI model to analyze both normal MV function and alterations in left ventricle fluid dynamics resulting from MV disease and repair. Our long term goals are to develop a diagnostic methodology combining imaging techniques and computational structural and fluid dynamic analyses methods that will provide precise patient-specific 3-D MV geometry as well as detailed information of normal MV function and alterations with valvular disease. Through focusing our studies in this direction, we will be able to transition our techniques and strategies into the clinical setting to allow investigators to quantitate the extent of disease-related functional alterations and restoration towards normal valvular function following MV repair.

Public Health Relevance

To improve our understanding of mitral valve disease and to better direct treatment, we will develop a computational technique combining three-dimensional echocardiography with finite element and fluid-structure interaction analyses.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL109597-02
Application #
8322569
Study Section
Special Emphasis Panel (ZRG1-SBIB-J (80))
Program Officer
Baldwin, Tim
Project Start
2011-08-22
Project End
2016-06-30
Budget Start
2012-07-01
Budget End
2013-06-30
Support Year
2
Fiscal Year
2012
Total Cost
$371,982
Indirect Cost
$82,526
Name
University of Texas Health Science Center Houston
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
800771594
City
Houston
State
TX
Country
United States
Zip Code
77225
Choi, Ahnryul; McPherson, David D; Kim, Hyunggun (2017) Computational virtual evaluation of the effect of annuloplasty ring shape. Int J Numer Method Biomed Eng 33:
Choi, Ahnryul; McPherson, David D; Kim, Hyunggun (2016) Biomechanical evaluation of the pathophysiologic developmental mechanisms of mitral valve prolapse: effect of valvular morphologic alteration. Med Biol Eng Comput 54:799-809
Rim, Yonghoon; Choi, Ahnryul; McPherson, David D et al. (2015) Personalized Computational Modeling of Mitral Valve Prolapse: Virtual Leaflet Resection. PLoS One 10:e0130906
Chandran, Krishnan B; Kim, Hyunggun (2015) Computational mitral valve evaluation and potential clinical applications. Ann Biomed Eng 43:1348-62
Rim, Yonghoon; Chandran, Krishnan B; Laing, Susan T et al. (2015) Can Computational Simulation Quantitatively Determine Mitral Valve Abnormalities? JACC Cardiovasc Imaging 8:1112-1114
Rim, Yonghoon; Choi, Ahnryul; Laing, Susan T et al. (2014) Three-dimensional echocardiography-based prediction of posterior leaflet resection. Echocardiography 31:E300-3
Choi, Ahnryul; Rim, Yonghoon; Mun, Jeffrey S et al. (2014) A novel finite element-based patient-specific mitral valve repair: virtual ring annuloplasty. Biomed Mater Eng 24:341-7
Rim, Yonghoon; McPherson, David D; Kim, Hyunggun (2014) Effect of leaflet-to-chordae contact interaction on computational mitral valve evaluation. Biomed Eng Online 13:31
Rim, Yonghoon; McPherson, David D; Kim, Hyunggun (2014) Mitral valve function following ischemic cardiomyopathy: a biomechanical perspective. Biomed Mater Eng 24:7-13
Rim, Yonghoon; Laing, Susan T; McPherson, David D et al. (2014) Mitral valve repair using ePTFE sutures for ruptured mitral chordae tendineae: a computational simulation study. Ann Biomed Eng 42:139-48

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