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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Automatic Detection of B-Lines in $In Vivo$ Lung Ultrasound
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Automatic Detection of B-Lines in $In Vivo$ Lung Ultrasound

机译：自动检测 $体内$ 肺超声中的B线

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摘要

This paper proposes an automatic method for accurate detection and visualization of B-lines in ultrasound lung scans, which provides a quantitative measure for the number of B-lines present. All the scans used in this study were acquired using a BK3000 ultrasound scanner (BK Ultrasound, Herlev, Denmark) driving a 5.5-MHz linear transducer (BK Ultrasound). Four healthy subjects and four patients, after major surgery with pulmonary edema, were scanned at four locations on each lung for B-line examination. Eight sequences of 50 frames were acquired for each subject yielding 64 sequences in total. The proposed algorithm was applied to all 3200 in-vivo lung ultrasound images. The results showed that the average number of B-lines was 0.28 +/- 0.06 (Mean +/- Std) in scans belonging to the patients compared to 0.03 +/- 0.06 (Mean +/- Std) in the healthy subjects. Also, the Mann-Whitney test showed a significant difference between the two groups with the p-value of 0.015, and indicating that the proposed algorithm was able to differentiate between the healthy volunteers and the patients. In conclusion, the method can be used to automatically and to quantitatively characterize the distribution of B-lines for diagnosing pulmonary edema.
机译：本文提出了一种用于在超声肺部扫描中准确检测和可视化B线的自动方法，该方法为存在的B线数量提供了一种定量方法。本研究中使用的所有扫描都是使用BK3000超声波扫描仪（BK Ultrasound，Herlev，丹麦）驱动的5.5 MHz线性换能器（BK Ultrasound）进行的。在进行了肺水肿的大手术后，对四名健康受试者和四名患者进行了肺水肿检查，在每个肺的四个位置进行了B线检查。对于每个受试者，获得了50帧的八个序列，总共产生了64个序列。所提出的算法已应用于所有3200个体内肺超声图像。结果显示，在属于患者的扫描中，B线的平均数目为0.28 +/- 0.06（平均值+/-标准），而健康受试者为0.03 +/- 0.06（平均值+/-标准）。同样，Mann-Whitney检验显示两组之间的显着差异，p值为0.015，表明所提出的算法能够区分健康志愿者和患者。总之，该方法可用于自动和定量表征B线的分布，以诊断肺水肿。

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