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肺部超声垂直伪像与频率、带宽、焦点和入射角的关系:一项体外研究。

Dependence of lung ultrasound vertical artifacts on frequency, bandwidth, focus and angle of incidence: An in vitro study.

机构信息

Department of Information Engineering and Computer Science, University of Trento, Via Sommarive 9, 38123, Trento, Italy.

出版信息

J Acoust Soc Am. 2021 Dec;150(6):4075. doi: 10.1121/10.0007482.

Abstract

Lung ultrasound (LUS) is nowadays widely adopted by clinicians to evaluate the state of the lung surface. However, being mainly based on the evaluation of vertical artifacts, whose genesis is still unclear, LUS is affected by qualitative and subjective analyses. Even though semi-quantitative approaches supported by computer aided methods can reduce subjectivity, they do not consider the dependence of vertical artifacts on imaging parameters, and could not be classified as fully quantitative. They are indeed mainly based on scoring LUS images, reconstructed with standard clinical scanners, through the sole evaluation of visual patterns, whose visualization depends on imaging parameters. To develop quantitative techniques is therefore fundamental to understand which parameters influence the vertical artifacts' intensity. In this study, we quantitatively analyzed the dependence of nine vertical artifacts observed in a thorax phantom on four parameters, i.e., center frequency, focal point, bandwidth, and angle of incidence. The results showed how the vertical artifacts are significantly affected by these four parameters, and confirm that the center frequency is the most impactful parameter in artifacts' characterization. These parameters should hence be carefully considered when developing a LUS quantitative approach.

摘要

肺部超声(LUS)如今已被临床医生广泛用于评估肺部表面状况。然而,由于其主要基于对垂直伪影的评估,而垂直伪影的起源尚不清楚,因此 LUS 受到定性和主观分析的影响。尽管计算机辅助方法支持的半定量方法可以降低主观性,但它们没有考虑到垂直伪影对成像参数的依赖性,因此不能被归类为完全定量。它们实际上主要基于通过仅评估视觉模式来对使用标准临床扫描仪重建的 LUS 图像进行评分,而视觉模式的可视化取决于成像参数。因此,开发定量技术对于了解哪些参数会影响垂直伪影的强度至关重要。在这项研究中,我们定量分析了在胸腔模型中观察到的 9 个垂直伪影对四个参数(即中心频率、焦点、带宽和入射角)的依赖性。结果表明,垂直伪影受这四个参数的显著影响,并证实中心频率是伪影特征化中最具影响力的参数。因此,在开发 LUS 定量方法时,应仔细考虑这些参数。

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