Novel automatic detection of pleura and B-lines (comet-tail artifacts) on in vivo lung ultrasound scans

Ramin Moshavegh, K. Hansen, Hasse Møller Sørensen, M. Hemmsen, C. Ewertsen, M. Nielsen, J. Jensen
{"title":"Novel automatic detection of pleura and B-lines (comet-tail artifacts) on in vivo lung ultrasound scans","authors":"Ramin Moshavegh, K. Hansen, Hasse Møller Sørensen, M. Hemmsen, C. Ewertsen, M. Nielsen, J. Jensen","doi":"10.1117/12.2216499","DOIUrl":null,"url":null,"abstract":"This paper presents a novel automatic method for detection of B-lines (comet-tail artifacts) in lung ultrasound scans. B-lines are the most commonly used artifacts for analyzing the pulmonary edema. They appear as laser-like vertical beams, which arise from the pleural line and spread down without fading to the edge of the screen. An increase in their number is associated with presence of edema. All the scans used in this study were acquired using a BK3000 ultrasound scanner (BK Ultrasound, Denmark) driving a 192-element 5:5 MHz wide linear transducer (10L2W, BK Ultrasound). The dynamic received focus technique was employed to generate the sequences. Six subjects, among those three patients after major surgery and three normal subjects, were scanned once and Six ultrasound sequences each containing 50 frames were acquired. The proposed algorithm was applied to all 300 in-vivo lung ultrasound images. The pleural line is first segmented on each image and then the B-line artifacts spreading down from the pleural line are detected and overlayed on the image. The resulting 300 images showed that the mean lateral distance between B-lines detected on images acquired from patients decreased by 20% in compare with that of normal subjects. Therefore, the method can be used as the basis of a method of automatically and qualitatively characterizing the distribution of B-lines.","PeriodicalId":228011,"journal":{"name":"SPIE Medical Imaging","volume":"115 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SPIE Medical Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2216499","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19

Abstract

This paper presents a novel automatic method for detection of B-lines (comet-tail artifacts) in lung ultrasound scans. B-lines are the most commonly used artifacts for analyzing the pulmonary edema. They appear as laser-like vertical beams, which arise from the pleural line and spread down without fading to the edge of the screen. An increase in their number is associated with presence of edema. All the scans used in this study were acquired using a BK3000 ultrasound scanner (BK Ultrasound, Denmark) driving a 192-element 5:5 MHz wide linear transducer (10L2W, BK Ultrasound). The dynamic received focus technique was employed to generate the sequences. Six subjects, among those three patients after major surgery and three normal subjects, were scanned once and Six ultrasound sequences each containing 50 frames were acquired. The proposed algorithm was applied to all 300 in-vivo lung ultrasound images. The pleural line is first segmented on each image and then the B-line artifacts spreading down from the pleural line are detected and overlayed on the image. The resulting 300 images showed that the mean lateral distance between B-lines detected on images acquired from patients decreased by 20% in compare with that of normal subjects. Therefore, the method can be used as the basis of a method of automatically and qualitatively characterizing the distribution of B-lines.
新的自动检测胸膜和b线(彗星尾伪影)在体内肺超声扫描
本文提出了一种新的自动检测肺超声扫描中b线(彗星尾伪影)的方法。b线是分析肺水肿最常用的伪影。它们看起来像激光一样垂直的光束,从胸膜线发出,向下扩散而不会消失到屏幕的边缘。它们数量的增加与水肿的出现有关。本研究中使用的所有扫描都是使用BK3000超声扫描仪(BK超声,丹麦)驱动192单元5:5 MHz宽线性换能器(10L2W, BK超声)获得的。采用动态接收焦点技术生成序列。其中3例术后患者和3例正常患者共6例,扫描1次,获得6组超声序列,每组50帧。该算法应用于所有300张活体肺超声图像。首先在每张图像上分割胸膜线,然后检测从胸膜线向下扩散的b线伪影并将其覆盖在图像上。300幅图像显示,与正常受试者相比,患者图像上检测到的b线之间的平均横向距离减少了20%。因此,该方法可作为自动定性表征b线分布的方法的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信