Ultrasound imaging of lung disease and its relationship to histopathology: An experimentally validated simulation approach.
Ultrasound imaging of lung disease and its relationship to histopathology: An experimentally validated simulation approach.
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DOI：
10.1121/10.0021870
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发表时间：
2023-10
期刊：
影响因子：
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通讯作者：
Oleksii Ostras;I. Shponka;G. Pinton
中科院分区：
文献类型：
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作者：
Oleksii Ostras;I. Shponka;G. Pinton
肺超声(LUS)是一种广泛应用于临床肺评估的技术，但由于复杂组织/空气结构中波传播物理的复杂性，LUS图像与潜在疾病之间的关系仍然知之甚少。在超声图像的视觉模式和肺解剖之间建立清晰的联系可以提高LUS的诊断准确性和临床部署。发生在肺部界面的混响是复杂的，导致图像需要解释肺部深处的伪影。由于充气肺和胸壁之间的几乎全反射和高阻抗不匹配，这些图像不能准确地描述解剖结构。在这里，我们开发了一种基于波传播物理的第一原理的方法，在高逼真的人体胸壁和肺地图中揭示肺部疾病、组织结构及其对超声图像的影响之间的关系。结果表明，超声传播的全波数值模拟和组织学派生的声学图模拟了肺界面的多次散射物理，并再现了与临床图像相似的LUS B模式图像。然而，与临床成像不同的是，潜在的组织结构模型是已知和可控的。肺内液体和结缔组织成分的数量被逐渐修改以模拟疾病的进展，并分析了由此产生的B超图像和非成像混响措施的变化，以解释肺组织的病理修改与观察到的LU之间的关系。
Lung ultrasound (LUS) is a widely used technique in clinical lung assessment, yet the relationship between LUS images and the underlying disease remains poorly understood due in part to the complexity of the wave propagation physics in complex tissue/air structures. Establishing a clear link between visual patterns in ultrasound images and underlying lung anatomy could improve the diagnostic accuracy and clinical deployment of LUS. Reverberation that occurs at the lung interface is complex, resulting in images that require interpretation of the artifacts deep in the lungs. These images are not accurate spatial representations of the anatomy due to the almost total reflectivity and high impedance mismatch between aerated lung and chest wall. Here, we develop an approach based on the first principles of wave propagation physics in highly realistic maps of the human chest wall and lung to unveil a relationship between lung disease, tissue structure, and its resulting effects on ultrasound images. It is shown that Fullwave numerical simulations of ultrasound propagation and histology-derived acoustical maps model the multiple scattering physics at the lung interface and reproduce LUS B-mode images that are comparable to clinical images. However, unlike clinical imaging, the underlying tissue structure model is known and controllable. The amount of fluid and connective tissue components in the lung were gradually modified to model disease progression, and the resulting changes in B-mode images and non-imaging reverberation measures were analyzed to explain the relationship between pathological modifications of lung tissue and observed LUS.