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Updated: Mar 15, 2026

In Vitro Model of Physiological and Pathological Blood Flow with Application to Investigations of Vascular Cell Remodeling
Published on: November 3, 2015
Heart blood flow simulation: a perspective review
Siamak N Doost1, Dhanjoo Ghista2, Boyang Su3
1Biomechanics and Tissue Engineering Lab, Faculty of Science, Engineering and Technology, Swinburne University of Technology, Melbourne, Australia.
Insights
Image-based computational fluid dynamics (IB-CFD) simulations of patient-specific left ventricles (LVs) are advancing cardiovascular disease diagnosis. This review covers 15 years of research, highlighting progress toward clinical application for heart function assessment.
Area of Science:
- * Cardiovascular fluid dynamics
- * Medical imaging and computational modeling
- * Clinical cardiology
Background:
- * Cardiovascular disease (CVD) is a leading cause of death, often linked to hemodynamic stress on the left ventricle (LV).
- * Early diagnosis and prognosis of CVD are crucial for reducing mortality and morbidity.
- * Image-based computational fluid dynamics (IB-CFD) offers a promising approach for assessing cardiovascular hemodynamics.
Purpose of the Study:
- * To review numerical simulations of patient-specific human LVs using IB-CFD methods over the past 15 years.
- * To analyze studies based on LV types (physiological and pathological) and discuss their methodologies, limitations, and findings.
- * To assess the current status and future potential of IB-CFD for clinical application in heart function assessment.
Main Methods:
- * Comprehensive literature review of IB-CFD studies on patient-specific LV simulations.
- * Categorization of studies by LV geometry: physiological and pathological (myocardial infarction, cardiomyopathies, hypoplastic left heart syndrome).
- * Analysis of simulation methodologies, hemodynamic parameter extraction, and clinical insights.
Main Results:
- * IB-CFD has been applied to diverse patient-specific LV models, providing insights into intraventricular flows.
- * Studies demonstrate the capability of CFD to simulate complex cardiovascular fluid dynamics.
- * Challenges remain in fully translating IB-CFD findings into routine clinical practice due to limitations and complications.
Conclusions:
- * Heart flow simulation using IB-CFD is progressing towards becoming a valuable clinical tool.
- * Integration of heart structures' operations (e.g., valves) and development of diagnostic indices are key for adoption.
- * Continued research in IB-CFD holds significant potential for improving CVD diagnosis and patient management.
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.
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