Please use this identifier to cite or link to this item: https://doi.org/10.1186/s12938-016-0224-8
Title: Heart blood flow simulation: A perspective review
Authors: Doost, S.N
Ghista, D
Su, B
Zhong, L 
Morsi, Y.S
Keywords: Cardiology
Cardiovascular system
Diagnosis
Diseases
Dynamics
Flow simulation
Fluid dynamics
Fluid mechanics
Fluid structure interaction
Heart
Hemodynamics
Medical imaging
Physiological models
Physiology
Cardio-vascular disease
Diagnosis and prognosis
General fluid mechanics
Hypertrophic cardiomyopathy
Hypoplastic left heart syndrome
Initiation and propagation
Left ventricles
Pathological conditions
Computational fluid dynamics
Article
cardiovascular disease
cardiovascular system examination
cause of death
clinical assessment tool
computational fluid dynamics
congestive cardiomyopathy
coronary artery blood flow
diagnostic imaging
heart function
heart hemodynamics
heart infarction
heart left ventricle
hemodynamic parameters
human
hypertrophic cardiomyopathy
hypoplastic left heart syndrome
morbidity
mortality
priority journal
prognosis
simulation
biological model
heart disease
hydrodynamics
pathophysiology
Coronary Circulation
Heart Diseases
Humans
Hydrodynamics
Models, Cardiovascular
Patient-Specific Modeling
Issue Date: 2016
Citation: Doost, S.N, Ghista, D, Su, B, Zhong, L, Morsi, Y.S (2016). Heart blood flow simulation: A perspective review. BioMedical Engineering Online 15 (1) : 101. ScholarBank@NUS Repository. https://doi.org/10.1186/s12938-016-0224-8
Rights: Attribution 4.0 International
Abstract: Cardiovascular disease (CVD), the leading cause of death today, incorporates a wide range of cardiovascular system malfunctions that affect heart functionality. It is believed that the hemodynamic loads exerted on the cardiovascular system, the left ventricle (LV) in particular, are the leading cause of CVD initiation and propagation. Moreover, it is believed that the diagnosis and prognosis of CVD at an early stage could reduce its high mortality and morbidity rate. Therefore, a set of robust clinical cardiovascular assessment tools has been introduced to compute the cardiovascular hemodynamics in order to provide useful insights to physicians to recognize indicators leading to CVD and also to aid the diagnosis of CVD. Recently, a combination of computational fluid dynamics (CFD) and different medical imaging tools, image-based CFD (IB-CFD), has been widely employed for cardiovascular functional assessment by providing reliable hemodynamic parameters. Even though the capability of CFD to provide reliable flow dynamics in general fluid mechanics problems has been widely demonstrated for many years, up to now, the clinical implications of the IB-CFD patient-specific LVs have not been applicable due to its limitations and complications. In this paper, we review investigations conducted to numerically simulate patient-specific human LV over the past 15 years using IB-CFD methods. Firstly, we divide different studies according to the different LV types (physiological and different pathological conditions) that have been chosen to reconstruct the geometry, and then discuss their contributions, methodologies, limitations, and findings. In this regard, we have studied CFD simulations of intraventricular flows and related cardiology insights, for (i) Physiological patient-specific LV models, (ii) Pathological heart patient-specific models, including myocardial infarction, dilated cardiomyopathy, hypertrophic cardiomyopathy and hypoplastic left heart syndrome. Finally, we discuss the current stage of the IB-CFD LV simulations in order to mimic realistic hemodynamics of patient-specific LVs. We can conclude that heart flow simulation is on the right track for developing into a useful clinical tool for heart function assessment, by (i) incorporating most of heart structures' (such as heart valves) operations, and (ii) providing useful diagnostic indices based hemodynamic parameters, for routine adoption in clinical usage. © 2016 The Author(s).
Source Title: BioMedical Engineering Online
URI: https://scholarbank.nus.edu.sg/handle/10635/181346
ISSN: 1475925X
DOI: 10.1186/s12938-016-0224-8
Rights: Attribution 4.0 International
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