A framework for biomechanics simulations using four-chamber cardiac models
| Autor: | Adarsh Krishnamurthy, Arian Jafari, Edward Pszczolkowski |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
Quantitative Biology::Tissues and Organs 0206 medical engineering Physics::Medical Physics Finite Element Analysis Biomedical Engineering Biophysics 02 engineering and technology Isogeometric analysis Article 03 medical and health sciences 0302 clinical medicine medicine Humans Ventricular Function Orthopedics and Sports Medicine Polygon mesh Myocardial infarction Boundary value problem Mechanical Phenomena Cardiac cycle Rehabilitation Models Cardiovascular Heart Mechanics medicine.disease Rigid body Atrial Function 020601 biomedical engineering Finite element method Biomechanical Phenomena cardiovascular system 030217 neurology & neurosurgery Interpolation |
| Zdroj: | J Biomech |
| ISSN: | 1873-2380 |
| Popis: | Computational cardiac models have been extensively used to study different cardiac biomechanics; specifically, finite-element analysis has been one of the tools used to study the internal stresses and strains in the cardiac wall during the cardiac cycle. Cubic-Hermite finite element meshes have been used for simulating cardiac biomechanics due to their convergence characteristics and their ability to capture smooth geometries compactly-fewer elements are needed to build the cardiac geometry-compared to linear tetrahedral meshes. Such meshes have previously been used only with simple ventricular geometries with non-physiological boundary conditions due to challenges associated with creating cubic-Hermite meshes of the complex heart geometry. However, it is critical to accurately capture the different geometric characteristics of the heart and apply physiologically equivalent boundary conditions to replicate the in vivo heart motion. In this work, we created a four-chamber cardiac model utilizing cubic-Hermite elements and simulated a full cardiac cycle by coupling the 3D finite element model with a lumped circulation model. The myocardial fiber-orientations were interpolated within the mesh using the Log-Euclidean method to overcome the singularity associated with interpolation of orthogonal matrices. Physiologically equivalent rigid body constraints were applied to the nodes along the valve plane and the accuracy of the resulting simulations were validated using open source clinical data. We then simulated a complete cardiac cycle of a healthy heart and a heart with acute myocardial infarction. We compared the pumping functionality of the heart for both cases by calculating the ventricular work. We observed a 20% reduction in acute work done by the heart immediately after myocardial infarction. The myocardial wall displacements obtained from the four-chamber model are comparable to actual patient data, without requiring complicated non-physiological boundary conditions usually required in truncated ventricular heart models. |
| Databáze: | OpenAIRE |
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