{"title":"人体心血管系统血流多相模型评述","authors":"Raghvendra Gupta, Amit Kumar, Mudrika Singhal","doi":"10.1007/s41745-024-00430-y","DOIUrl":null,"url":null,"abstract":"<p>In the human body, blood acts as a transporter of oxygen and other nutrients as well as carbon dioxide and other waste materials to and from all the organs. Therefore, continuous supply of blood to all the organs is critical for proper functioning of the human body. Blood is a complex fluid and has more than 40% flexible particles which include red blood cells, white blood cells, platelets and other proteins suspended in a water-like fluid, plasma. The dynamics of blood flow, known as haemodynamics, is critical in the development, diagnosis and treatment planning of vascular diseases and design and development of cardiovascular devices. Whilst the most advanced flow measurement techniques such as X-ray imaging, magnetic resonance imaging and ultrasound imaging are used in the diagnosis and treatment of vascular diseases, it is not possible to obtain the complete information of pressure and velocity field experimentally via in vivo methods. Therefore, in silico methods or computational modelling techniques are being increasingly employed not only to understand the haemodynamics but also for use in the clinical setting. Whilst blood is treated as a homogeneous, single-phase fluid in several studies, it is possible to capture several features of the flow of blood only by modelling it as a multiphase fluid. A number of approaches have been adopted to model multiphase flow of blood. A broad categorisation can be based on whether the cell boundary is captured explicitly, e.g. immersed boundary method, or the phases are treated as interpenetrating and two or more phases can exist simultaneously at a point, e.g. Euler–Euler method. In the literature, both the approaches have been adopted to model the flow of blood. Particle-based methods, such as smoothed particle hydrodynamics and dissipative particle dynamics have also been employed by researchers to study the complex interactions associated with the flow of blood. 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引用次数: 0
摘要
在人体中,血液是氧气和其他营养物质以及二氧化碳和其他废物进出所有器官的运输工具。因此,向所有器官持续供应血液对人体正常运作至关重要。血液是一种复杂的液体,其中 40% 以上为柔性颗粒,包括悬浮在水样液体血浆中的红细胞、白细胞、血小板和其他蛋白质。血流动力学被称为血液动力学,对于血管疾病的开发、诊断和治疗规划以及心血管设备的设计和开发至关重要。虽然 X 射线成像、磁共振成像和超声波成像等最先进的血流测量技术已用于血管疾病的诊断和治疗,但无法通过体内实验方法获得压力场和速度场的完整信息。因此,人们越来越多地采用硅学方法或计算建模技术来了解血液动力学,并将其应用于临床。虽然在一些研究中,血液被视为均匀的单相流体,但只有将其作为多相流体建模,才有可能捕捉到血液流动的一些特征。血液多相流建模采用了多种方法。大致的分类可以根据是明确捕捉细胞边界(如浸没边界法),还是将各相视为相互渗透的,并且在某一点可以同时存在两个或多个相(如欧拉-欧拉法)。在文献中,这两种方法都被用来模拟血液流动。研究人员还采用了平滑粒子流体力学和耗散粒子动力学等基于粒子的方法来研究与血液流动相关的复杂相互作用。本文将讨论不同的多相建模方法及其在血液动力学建模中的应用。
A Critical Review of Multiphase Modelling of Blood Flow in Human Cardiovascular System
In the human body, blood acts as a transporter of oxygen and other nutrients as well as carbon dioxide and other waste materials to and from all the organs. Therefore, continuous supply of blood to all the organs is critical for proper functioning of the human body. Blood is a complex fluid and has more than 40% flexible particles which include red blood cells, white blood cells, platelets and other proteins suspended in a water-like fluid, plasma. The dynamics of blood flow, known as haemodynamics, is critical in the development, diagnosis and treatment planning of vascular diseases and design and development of cardiovascular devices. Whilst the most advanced flow measurement techniques such as X-ray imaging, magnetic resonance imaging and ultrasound imaging are used in the diagnosis and treatment of vascular diseases, it is not possible to obtain the complete information of pressure and velocity field experimentally via in vivo methods. Therefore, in silico methods or computational modelling techniques are being increasingly employed not only to understand the haemodynamics but also for use in the clinical setting. Whilst blood is treated as a homogeneous, single-phase fluid in several studies, it is possible to capture several features of the flow of blood only by modelling it as a multiphase fluid. A number of approaches have been adopted to model multiphase flow of blood. A broad categorisation can be based on whether the cell boundary is captured explicitly, e.g. immersed boundary method, or the phases are treated as interpenetrating and two or more phases can exist simultaneously at a point, e.g. Euler–Euler method. In the literature, both the approaches have been adopted to model the flow of blood. Particle-based methods, such as smoothed particle hydrodynamics and dissipative particle dynamics have also been employed by researchers to study the complex interactions associated with the flow of blood. In this article, we discuss different multiphase modelling approaches and their application in the haemodynamics modelling.
期刊介绍:
Started in 1914 as the second scientific journal to be published from India, the Journal of the Indian Institute of Science became a multidisciplinary reviews journal covering all disciplines of science, engineering and technology in 2007. Since then each issue is devoted to a specific topic of contemporary research interest and guest-edited by eminent researchers. Authors selected by the Guest Editor(s) and/or the Editorial Board are invited to submit their review articles; each issue is expected to serve as a state-of-the-art review of a topic from multiple viewpoints.