Henry Brian, Royston Thomas J
Richard and Loan Hill Department of Bioengineering, University of Illinois at Chicago, 851 South Morgan Street, MC 063, Chicago, Illinois 60607, USA.
J Acoust Soc Am. 2017 Oct;142(4):1774. doi: 10.1121/1.5005497.
Sound transmission and resulting airway wall vibration in a complex multiscale viscoelastic model of the subglottal bronchial tree was calculated using a modified one-dimensional (1D) branching acoustic waveguide approach. This is an extension of previous work to enable use of complex airway trees that are partially derived from subject-specific medical images, without the need for self-similarity in the geometric structure. The approach was validated numerically for simplified airway geometries, as well as experimentally by comparison to previous studies. A comprehensive conducting airway tree with about 60 000 branches was then modified to create fibrotic, bronchoconstrictive, and pulmonary infiltrate conditions. The fibrotic case-systemic increase in soft tissue stiffness-increased the Helmholtz resonance frequency due to the increased acoustic impedance. Bronchoconstriction, with geometric changes in small conducting airways, decreased acoustic energy transmission to the peripheral airways due in part to the increased impedance mismatch between airway orders. Pulmonary infiltrate significantly altered the local acoustic field in the affected lobe. Calculation of acoustic differences between healthy versus pathologic cases can be used to enhance the understanding of vibro-acoustic changes correlated to pathology, and potentially provide improved tools for the diagnosis of pulmonary diseases that uniquely alter the acoustics of the airways.
使用改进的一维(1D)分支声波导方法,计算了声门下支气管树复杂多尺度粘弹性模型中的声音传播及由此产生的气道壁振动。这是对先前工作的扩展,能够使用部分源自特定个体医学图像的复杂气道树,而无需几何结构的自相似性。该方法在简化气道几何结构方面进行了数值验证,并通过与先前研究进行比较进行了实验验证。然后对一个具有约60000个分支的综合性传导气道树进行修改,以创建纤维化、支气管收缩和肺部浸润情况。纤维化病例——软组织硬度系统性增加——由于声阻抗增加,提高了亥姆霍兹共振频率。支气管收缩伴随着小传导气道的几何变化,部分由于气道级别之间阻抗失配增加,减少了向周边气道的声能传输。肺部浸润显著改变了受影响肺叶的局部声场。计算健康与病理病例之间的声学差异,可用于增强对与病理相关的振动声学变化的理解,并有可能为诊断独特改变气道声学的肺部疾病提供改进工具。