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使用二叉树数据结构模拟异质性肺损伤中的通气分布。

Simulating ventilation distribution in heterogenous lung injury using a binary tree data structure.

机构信息

Department of Anesthesia, Critical Care, and Pain Medicine, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA 02215, USA.

出版信息

Comput Biol Med. 2011 Oct;41(10):936-45. doi: 10.1016/j.compbiomed.2011.08.004. Epub 2011 Aug 27.

DOI:10.1016/j.compbiomed.2011.08.004
PMID:21872852
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3177984/
Abstract

To determine the impact of mechanical heterogeneity on the distribution of regional flows and pressures in the injured lung, we developed an anatomic model of the canine lung comprised of an asymmetric branching airway network, which can be stored as binary tree data structure. The entire tree can be traversed using a recursive flow divider algorithm, allowing for efficient computation of acinar flow and pressure distributions in a mechanically heterogeneous lung. These distributions were found to be highly dependent on ventilation frequency and the heterogeneity of tissue elastances, reflecting the preferential distribution of ventilation to areas of lower regional impedance.

摘要

为了确定机械异质性对损伤肺中区域流量和压力分布的影响,我们开发了一个由非对称分支气道网络组成的犬肺解剖模型,该模型可以存储为二叉树数据结构。整个树可以使用递归流分配器算法进行遍历,从而可以有效地计算机械异质肺中的腺泡流量和压力分布。这些分布高度依赖于通气频率和组织弹性的异质性,反映了通气向区域阻抗较低的区域的优先分布。

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本文引用的文献

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Analysis of regional mechanics in canine lung injury using forced oscillations and 3D image registration.应用强迫振荡技术和三维图像配准分析犬肺损伤的区域性力学特征。
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Quantifying mechanical heterogeneity in canine acute lung injury: impact of mean airway pressure.量化犬急性肺损伤中的机械异质性:平均气道压力的影响
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