Computational medical imaging and hemodynamics framework for functional analysis and assessment of cardiovascular
Kelvin K L Wong1,2, Defeng Wang3, Jacky K L Ko3
1School of Medicine, University of Western Sydney, Campbelltown, Sydney, NSW, 2560, Australia. Kelvin.Wong@westernsydney.edu.au.
Insights
This study integrates medical imaging with computational fluid dynamics to analyze cardiovascular blood flow. This approach enhances diagnosis of heart conditions like heart failure and guides surgical restoration of cardiac function.
Area of Science:
- Cardiovascular Imaging and Hemodynamics
- Computational Fluid Dynamics in Medicine
Background:
- Cardiac dysfunction is a prevalent health issue, often diagnosed using structural imaging like echocardiography and MRI.
- Current imaging methods provide limited insight into cardiovascular flow dynamics, a crucial factor for diagnosing many heart diseases.
- Hemodynamic performance indicators are vital for understanding and diagnosing cardiovascular abnormalities but remain underutilized.
Purpose of the Study:
- To review the integration of advanced medical imaging and computational fluid dynamics (CFD) for cardiovascular analysis.
- To explore the potential of a diagnostic platform for quantifying and analyzing hemodynamics.
- To demonstrate how this integrated framework can advance the understanding and treatment of cardiovascular diseases.
Main Methods:
- Review of state-of-the-art medical imaging techniques for cardiovascular structure reconstruction.
- Application of high-fidelity multi-physics computational analyses for hemodynamic flow pattern simulation.
- Reconstruction of cardiovascular structures (e.g., left ventricle, carotid bifurcations) and simulation of blood flow within them.
Main Results:
- The combined approach enables detailed study of cardiovascular disease mechanisms, such as cardiomyopathy-induced heart failure.
- Modeling and simulation of intra-left ventricular (LV) hemodynamics can optimize surgical interventions for restoring contractility.
- This framework facilitates the determination of optimal surgical procedures for conditions like LV remodeling.
Conclusions:
- Integrating medical imaging with hemodynamic analysis provides a powerful tool for diagnosing cardiovascular defects.
- This framework enhances understanding of the relationship between cardiovascular abnormalities and hemodynamic behavior.
- The integrated approach holds significant potential for guiding surgical restoration and improving patient outcomes.
Abstract:
Cardiac dysfunction constitutes common cardiovascular health issues in the society, and has been an investigation topic of strong focus by researchers in the medical imaging community. Diagnostic modalities based on echocardiography, magnetic resonance imaging, chest radiography and computed tomography are common techniques that provide cardiovascular structural information to diagnose heart defects. However, functional information of cardiovascular flow, which can in fact be used to support the diagnosis of many cardiovascular diseases with a myriad of hemodynamics performance indicators, remains unexplored to its full potential. Some of these indicators constitute important cardiac functional parameters affecting the cardiovascular abnormalities. With the advancement of computer technology that facilitates high speed computational fluid dynamics, the realization of a support diagnostic platform of hemodynamics quantification and analysis can be achieved. This article reviews the state-of-the-art medical imaging and high fidelity multi-physics computational analyses that together enable reconstruction of cardiovascular structures and hemodynamic flow patterns within them, such as of the left ventricle (LV) and carotid bifurcations. The combined medical imaging and hemodynamic analysis enables us to study the mechanisms of cardiovascular disease-causing dysfunctions, such as how (1) cardiomyopathy causes left ventricular remodeling and loss of contractility leading to heart failure, and (2) modeling of LV construction and simulation of intra-LV hemodynamics can enable us to determine the optimum procedure of surgical ventriculation to restore its contractility and health This combined medical imaging and hemodynamics framework can potentially extend medical knowledge of cardiovascular defects and associated hemodynamic behavior and their surgical restoration, by means of an integrated medical image diagnostics and hemodynamic performance analysis framework.
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