ArticleInternational journal for numerical methods in biomedical engineering2018
A comprehensive pipeline for multi-resolution modeling of the mitral valve: Validation, computational efficiency, and predictive capability.
Article in International journal for numerical methods in biomedical engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Effect of Parametric Variation of Chordae Tendineae Structure on Simulated Atrioventricular Valve Closure.Annals of biomedical engineering · 2026Article
- Computational simulation model of transcatheter edge-to-edge mitral valve repair: a proof-of-concept study.European heart journal. Cardiovascular Imaging · 2024Article
- A Computational Pipeline for Patient-Specific Prediction of the Postoperative Mitral Valve Functional State.Journal of biomechanical engineering · 2023Article
- Quantitative in vivo assessment of human mitral valve coaptation area after undersized ring annuloplasty repair for ischemic mitral regurgitation.JTCVS techniques · 2022Article
- Neural Network Approaches for Soft Biological Tissue and Organ Simulations.Journal of biomechanical engineering · 2022Review
- In vivo assessment of mitral valve leaflet remodelling following myocardial infarction.Scientific reports · 2022Article
- Benchtop characterization of the tricuspid valve leaflet pre-strains.Acta biomaterialia · 2022Article
- A Computational Framework for Atrioventricular Valve Modeling Using Open-Source Software.Journal of biomechanical engineering · 2022Article
- Texas TriValve 1.0 : a reverse‑engineered, open model of the human tricuspid valve.Engineering with computers · 2022Article
- Patient-Specific Three-Dimensional Ultrasound Derived Computational Modeling of the Mitral Valve.Annals of biomedical engineering · 2022Article
- Clinical Impact of Computational Heart Valve Models.Materials (Basel, Switzerland) · 2022Review
- Pre-surgical Prediction of Ischemic Mitral Regurgitation Recurrence Using In Vivo Mitral Valve Leaflet Strains.Annals of biomedical engineering · 2021Article
- Mitral valve leaflet response to ischaemic mitral regurgitation: from gene expression to tissue remodelling.Journal of the Royal Society, Interface · 2020Article
- Advanced Methodology and Preliminary Measurements of Molecular and Mechanical Properties of Heart Valves under Dynamic Strain.International journal of molecular sciences · 2020Article
- On the simulation of mitral valve function in health, disease, and treatment.Journal of biomechanical engineering · 2019Article
- Development of a Functionally Equivalent Model of the Mitral Valve Chordae Tendineae Through Topology Optimization.Annals of biomedical engineering · 2019Article
- Development of a modeling pipeline for the prediction of hemodynamic outcome after virtual mitral valve repair using image-based CFD.International journal of computer assisted radiology and surgery · 2018Article
- The Three-Dimensional Microenvironment of the Mitral Valve: Insights into the Effects of Physiological Loads.Cellular and molecular bioengineering · 2018Article
- Multi-resolution geometric modeling of the mitral heart valve leaflets.Biomechanics and modeling in mechanobiology · 2018Article
- Computational methods for the aortic heart valve and its replacements.Expert review of medical devices · 2017Review
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Authors and funding
3 authors.
Funding
Abstract
Multiple studies have demonstrated that the pathological geometries unique to each patient can affect the durability of mitral valve (MV) repairs. While computational modeling of the MV is a promising approach to improve the surgical outcomes, the complex MV geometry precludes use of simplified models. Moreover, the lack of complete in vivo geometric information presents significant challenges in the development of patient-specific computational models. There is thus a need to determine the level of detail necessary for predictive MV models. To address this issue, we have developed a novel pipeline for building attribute-rich computational models of MV with varying fidelity directly from the in vitro imaging data. The approach combines high-resolution geometric information from loaded and unloaded states to achieve a high level of anatomic detail, followed by mapping and parametric embedding of tissue attributes to build a high-resolution, attribute-rich computational models. Subsequent lower resolution models were then developed and evaluated by comparing the displacements and surface strains to those extracted from the imaging data. We then identified the critical levels of fidelity for building predictive MV models in the dilated and repaired states. We demonstrated that a model with a feature size of about 5 mm and mesh size of about 1 mm was sufficient to predict the overall MV shape, stress, and strain distributions with high accuracy. However, we also noted that more detailed models were found to be needed to simulate microstructural events. We conclude that the developed pipeline enables sufficiently complex models for biomechanical simulations of MV in normal, dilated, repaired states.
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