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3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse
Published on: May 19, 2015
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Assessment of human left ventricle flow using statistical shape modelling and computational fluid dynamics.
S S Khalafvand1, J D Voorneveld2, A Muralidharan1
1Department of Chemical Engineering, Faculty of Applied Science, Delft University of Technology, The Netherlands.
Journal of Biomechanics
|May 7, 2018
Summary
This study presents a new computational framework to analyze blood flow in the human left ventricle (LV). It combines computational fluid dynamics (CFD) and statistical shape models (SSM) for generalized insights into cardiac health.
Area of Science:
- Cardiovascular Science
- Biomedical Engineering
- Medical Imaging
Background:
- Left ventricular (LV) blood flow patterns are linked to cardiac health.
- Existing studies lack generalizability due to small sample sizes.
- Understanding LV hemodynamics is crucial for diagnosing cardiac conditions.
Purpose of the Study:
- To develop a generalized framework for analyzing four-dimensional (4D) blood flow in the LV.
- To investigate the impact of anatomical variations and wall motion on LV blood flow.
- To provide a tool for systematic assessment of LV functionality.
Main Methods:
- Utilized computational fluid dynamics (CFD) for 4D blood flow simulation.
- Integrated a statistical shape model (SSM) built from 150 subjects' LV shapes.
- Validated CFD results using in-vitro particle image velocimetry (PIV) measurements.
Main Results:
- The CFD-SSM framework successfully simulated 4D blood flow in the LV.
- The model demonstrated the ability to generalize insights across different LV anatomies.
- In-vitro validation confirmed the accuracy of the computational approach.
Conclusions:
- The combined CFD and SSM approach offers a robust method for studying LV blood flow.
- This framework facilitates systematic assessment of blood flow patterns related to anatomical changes.
- The study provides a valuable tool for enhancing the diagnosis of LV functionality.
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