Computational medical imaging and hemodynamics framework for functional analysis and assessment of cardiovascular structures
Open Access
- 21 March 2017
- journal article
- review article
- Published by Springer Science and Business Media LLC in BioMedical Engineering OnLine
- Vol. 16 (1), 35
- https://doi.org/10.1186/s12938-017-0326-y
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.Keywords
This publication has 53 references indexed in Scilit:
- Computational Fluid Dynamics Analysis to Determine Shear Stresses and Rates in a Centrifugal Left Ventricular Assist DeviceArtificial Organs, 2012
- Impact of surgical ventricular restoration on ventricular shape, wall stress, and function in heart failure patientsAmerican Journal of Physiology-Heart and Circulatory Physiology, 2011
- Outflow Conditions for Image-Based Hemodynamic Models of the Carotid Bifurcation: Implications for Indicators of Abnormal FlowJournal of Biomechanical Engineering, 2010
- Noninvasive Cardiac Flow Assessment Using High Speed Magnetic Resonance Fluid Motion TrackingPLOS ONE, 2009
- Correlations Among Indicators of Disturbed Flow at the Normal Carotid BifurcationJournal of Biomechanical Engineering, 2009
- Comparison of Near-Wall Hemodynamic Parameters in Stented Artery ModelsJournal of Biomechanical Engineering, 2009
- Left ventricular regional wall curvedness and wall stress in patients with ischemic dilated cardiomyopathyAmerican Journal of Physiology-Heart and Circulatory Physiology, 2009
- MRI-Based CFD Analysis of Flow in a Human Left Ventricle: Methodology and Application to a Healthy HeartAnnals of Biomedical Engineering, 2009
- A negative correlation between human carotid atherosclerotic plaque progression and plaque wall stress: In vivo MRI-based 2D/3D FSI modelsJournal of Biomechanics, 2008
- Analysis of Fully Developed Unsteady Viscous Flow in a Curved Elastic Tube Model to Provide Fluid Mechanical Data for Some Circulatory Path-Physiological Situations and Assist DevicesJournal of Biomechanical Engineering, 1979