Journal article · Ahead of Print article
Automatic Detection of B-lines in In-Vivo Lung Ultrasound
Biomedical Engineering, Department of Electrical Engineering, Technical University of Denmark1
Department of Electrical Engineering, Technical University of Denmark2
Copenhagen University Hospital Herlev and Gentofte3
Center for Fast Ultrasound Imaging, Centers, Technical University of Denmark4
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 Blines present. All the scans used in this study were acquired using a BK3000 ultrasound scanner (BK Ultrasound, 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 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.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2019 |
| Pages: | 309-317 |
| ISSN: | 15258955 and 08853010 |
| Types: | Journal article and Ahead of Print article |
| DOI: | 10.1109/TUFFC.2018.2885955 |
| ORCIDs: | 0000-0002-9380-1688 , Moshavegh, Ramin and Jensen, Jørgen Arendt |
5.5-MHz linear transducer Adult Aged Aged, 80 and over Algorithms Attenuation B-line examination BK Ultrasound BK3000 ultrasound scanner Diseases Elasticity Imaging Techniques Female Humans Image Interpretation, Computer-Assisted Image edge detection Lung Male Pulmonary Edema Thorax Transducers Ultrasonic imaging Visualization accurate detection automatic detection automatic method biomedical transducers biomedical ultrasonics diseases healthy subjects in-vivo lung ultrasound images lung medical image processing pulmonary edema segmentation surgery ultrasound imaging ultrasound lung scans visualization
