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首页> 外文期刊>Communications in Numerical Methods in Engineering >A global multiscale mathematical model for the human circulation with emphasis on the venous system
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A global multiscale mathematical model for the human circulation with emphasis on the venous system

机译:针对人体循环的全球多尺度数学模型,重点是静脉系统

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We present a global, closed-loop, multiscale mathematical model for the human circulation including the arterial system, the venous system, the heart, the pulmonary circulation and the microcirculation. A distinctive feature of our model is the detailed description of the venous system, particularly for intracranial and extracranial veins. Medium to large vessels are described by one-dimensional hyperbolic systems while the rest of the components are described by zero-dimensional models represented by differential-algebraic equations. Robust, high-order accurate numerical methodology is implemented for solving the hyperbolic equations, which are adopted from a recent reformulation that includes variable material properties. Because of the large intersubject variability of the venous system, we perform a patient-specific characterization of major veins of the head and neck using MRI data. Computational results are carefully validated using published data for the arterial system and most regions of the venous system. For head and neck veins, validation is carried out through a detailed comparison of simulation results against patient-specific phase-contrast MRI flow quantification data. A merit of our model is its global, closed-loop character; the imposition of highly artificial boundary conditions is avoided. Applications in mind include a vast range of medical conditions. Of particular interest is the study of some neurodegenerative diseases, whose venous haemodynamic connection has recently been identified by medical researchers.
机译:我们提出了一种用于人体循环的全局,闭环,多尺度数学模型,包括动脉系统,静脉系统,心脏,肺循环和微循环。我们模型的一个显着特征是对静脉系统的详细描述,特别是对于颅内和颅外静脉。中型到大型容器由一维双曲系统描述,其余组件由微分代数方程表示的零维模型描述。为解决双曲方程式,采用了一种健壮的高阶精确数值方法,该方法是从最近的包含可变材料特性的重新公式中采用的。由于静脉系统的受试者间差异很大,我们使用MRI数据对患者的头颈主要静脉进行了特定的表征。计算结果使用动脉系统和静脉系统大多数区域的公开数据进行了仔细验证。对于头颈静脉,通过将模拟结果与特定于患者的相衬MRI流量定量数据进行详细比较,进行验证。我们模型的一个优点是它的全局闭环特性。避免强加人为的边界条件。考虑到的应用包括广泛的医疗条件。特别令人感兴趣的是对一些神经退行性疾病的研究,其医学研究人员最近已确定了其静脉血液动力学联系。

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