Automatic Detection of B-Lines in In Vivo Lung Ultrasound
Automatic Detection of B-Lines in In Vivo Lung Ultrasound
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DOI：
10.1109/tuffc.2018.2885955
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发表时间：
2019-02-01
影响因子：
3.6
通讯作者：
Jensen, Jorgen Arendt
中科院分区：
文献类型：
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作者：
Moshavegh, Ramin;Hansen, Kristoffer Lindskov;Jensen, Jorgen Arendt
本文提出了一种在超声肺扫描中准确检测和可视化B线的自动方法，它为B线的数量提供了一个定量的度量。本研究中使用的所有扫描都是使用BK3000超声扫描仪(BK超声波，丹麦Herlev)驱动5.5 MHz线性换能器(BK超声波)获得的。四名健康受试者和四名患者，在大手术后合并肺水肿，在每个肺的四个位置进行B线检查。为每个受试者获取8个50帧的序列，总共产生序列。将该算法应用于所有3200幅活体肺超声图像。结果显示，患者B线的平均数目为0.28+/-0.06(Mean+/-STD)，而正常人为0.03+/-0.06(Mean+/-STD)。此外，曼恩-惠特尼检验显示，两组之间存在显著差异，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。结论：该方法可以自动、定量地描述肺水肿的B线分布。
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.