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CFD models of the bronchial airways with dynamic boundaries

机译:具有动态边界的支气管气道的CFD模型

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摘要

Obtaining reliable CFD predictions of the bronchial flow that reflects the actual flow\udwithin a living lung requires the development of a deforming airways model, and the\udimposition of physiological subject-specific boundary conditions. This thesis addresses\udthese two issues by the development of dynamic CFD models of the bronchial airways\udusing a dynamic CT data set covering the breathing cycle of a laboratory animal. A\uddeformation algorithm is proposed that matches the CFD mesh of the subsequent\udairway geometries generated from the dynamic CT data set. In addition, a novel\udnonlinear dynamic airway model generated from a pair of CT images is introduced. The\udproposed non-linear deforming model is capable of successfully capturing the non-linear\udmotion characteristics of the bronchial airways based on the clinical measurements of\udthe lung volume change. Furthermore, a technique to drive physiological subject specific\udboundary conditions for the terminal surfaces of the CFD models of the\udbronchial airways is introduced. The proposed technique depends on approximating the\udlung volume associated to each terminal surface over several time points over the\udbreathing cycle based on the mechanical coupling between the bronchial airways and\udthe vascular tree. The computed dynamic subject-specific boundary conditions were\udimposed on the terminal surfaces of the deforming airway model and the effect of wall\udmotion on the flow features during tidal breathing is investigated for the first time.\udThe outcome of this thesis is expected to improve the fidelity of the CFD predictions of\udthe bronchial flow compared to the actual flow within a living lung. In addition, the\udavailability of a new non-linear dynamic model of the bronchial airways that requires\udone pair of CT images as input, which complies with the radiation dosage restrictions for\udhumans will facilitate the development of well-resolved CFD models of the human\udbronchial airways.
机译:要获得反映活肺中实际流量的支气管血流的可靠CFD预测,就需要开发变形的气道模型,以及特定于生理对象的边界条件。本文通过开发支气管气道动态CFD模型解决了这两个问题,使用动态CT数据集覆盖了实验动物的呼吸周期。提出了\变形算法,该算法与从动态CT数据集生成的后续\航道几何的CFD网格相匹配。此外,还介绍了由一对CT图像生成的新颖\超非线性动态气道模型。提议的非线性变形模型能够基于对肺容量变化的临床测量,成功捕获支气管气道的非线性/运动特性。此外,介绍了一种技术,用于驱动\支气管CFD模型的终端表面的生理对象特定\\ uboundary条件。所提出的技术依赖于基于支气管气道和血管树之间的机械耦合在整个呼吸循环的几个时间点上与每个终端表面相关的肺脏容积。将计算出的动态对象特定边界条件\在变形气道模型的末端表面上消除,并首次研究壁\运动对潮气呼吸过程中流动特征的影响。\ ud本文的结果有望得到与活肺中的实际流量相比,提高了支气管流量的CFD预测的保真度。此外,需要以成对的CT图像作为输入的支气管气道非线性非线性动力学模型的新可用性,该模型符合对人类的辐射剂量限制,这将有助于建立良好解析的CFD模型。人\支气管气道。

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