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.

Siamak N. Doost

Dhanjoo Ghista

Boyang Su

Liang Zhong

Yosry S. Morsi

BioMedical Engineering OnLine

BIOMEDICAL ENGINEERING ONLINE 是一本开放获取、同行评议的期刊，致力于发表生物医学工程所有领域的研究成果。BIOMEDICAL ENGINEERING ONLINE 面向世界各地对使用物理和数据科学工具感兴趣的读者和作者和工程技术，以理解和解决生物和医学科学中的问题。主题领域包括但不限于：生物信息学-生物仪器-生物力学-生物医学设备和仪器-生物医学信号处理-医疗信息系统-人体动力学-神经工程-康复工程-生物材料-生物医学成像和图像处理-生物微机电系统和 ON-芯片设备-生物微/纳米技术-生物分子工程-生物传感器-心血管系统工程-细胞工程-临床工程-计算生物学-药物输送技术-建模方法-生物医学中的纳米材料和纳米技术-呼吸系统工程-医学中的机器人-系统和合成生物学-系统生物学-远程医疗/智能手机在医学中的应用-治疗系统、设备和技术-组织工程

BioMedical Engineering Online is an open-access, peer-reviewed journal dedicated to publishing research findings in all areas of biomedical engineering. The journal targets readers and authors worldwide who are interested in using physical and data science tools to understand and solve problems in biological and medical sciences. The topics covered include but are not limited to: bioinformatics, biomedical instrumentation, biomechanics, biomedical devices and instruments, biomedical signal processing, medical information systems, human kinetics, neural engineering, rehabilitation engineering, biomaterials, biomedical imaging and image processing, bio-MEMS and on-chip devices, bio-micro/nanotechnology, biomolecular engineering, biosensors, cardiovascular system engineering, cellular engineering, clinical engineering, computational biology, drug delivery technologies, modeling methods, nanomaterials and nanotechnology in biomedicine, respiratory system engineering, robotics in medicine, systems and synthetic biology, systems biology, telemedicine/smartphone applications in medicine, therapeutic systems, devices and technologies, and tissue engineering.

《BioMedical Engineering Online》是一本开放获取、同行评审的期刊，专注于生物医学工程领域的研究成果。该期刊面向全球对物理和数据科学工具在生物和医学科学中应用感兴趣的读者和作者，旨在理解和解决相关问题。主题涵盖但不限于：生物信息学、生物仪器、生物力学、生物医学设备和仪器、生物医学信号处理、医疗信息系统、人体动力学、神经工程、康复工程、生物材料、生物医学成像和图像处理、生物微机电系统和芯片设备、生物微/纳米技术、生物分子工程、生物传感器、心血管系统工程、细胞工程、临床工程、计算生物学、药物输送技术、建模方法、生物医学中的纳米材料和纳米技术、呼吸系统工程、医学中的机器人、系统和合成生物学、系统生物学、远程医疗/智能手机在医学中的应用、治疗系统、设备和技术、组织工程。

BioMedical Engineering Online

BioMed Eng OnLine

Heart blood flow simulation: a perspective review

Heart flow simulation is on the right track for developing into a useful clinical tool for heart function assessment, by incorporating most of heart structures’ operations and providing useful diagnostic indices based hemodynamic parameters for routine adoption in clinical usage.

Category	Quartile
医学	4
医学, 工程生物医学	4

Heart blood flow simulation: a perspective review

ivySCI AI Smartly Parses PDF, Answers Researchers' Questions, and Helps You Understand Papers in Seconds

Journal Info