Research
Print page Print page
Switch language
The Capital Region of Denmark - a part of Copenhagen University Hospital
Published

Automatic Detection of B-lines in In-Vivo Lung Ultrasound

Research output: Contribution to journalJournal articleResearchpeer-review

  1. In vivo Motion Correction in Super Resolution Imaging of Rat Kidneys

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Portable Vector Flow Imaging Compared with Spectral Doppler Ultrasonography

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Real-Time 2-D Phased Array Vector Flow Imaging

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Noninvasive Estimation of Pressure Changes Using 2-D Vector Velocity Ultrasound: An Experimental Study With In Vivo Examples

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. A Vector Flow Imaging Method for Portable Ultrasound Using Synthetic Aperture Sequential Beamforming

    Research output: Contribution to journalJournal articleResearchpeer-review

  1. Pressure Difference Estimation in Non-stenotic Carotid Bifurcation Phantoms Using Vector Flow Imaging

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Evaluation of 2D super-resolution ultrasound imaging of the rat renal vasculature using ex vivo micro-computed tomography

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Highlights of the development in ultrasound during the last 70 years: A historical review

    Research output: Contribution to journalReviewResearchpeer-review

View graph of relations

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.

Original languageEnglish
JournalIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Volume66
Issue number2
Pages (from-to)309-317
Number of pages9
ISSN0885-3010
DOIs
Publication statusPublished - 2019

    Research areas

  • B-lines, pulmonary edema, segmentation, ultrasound imaging

ID: 55854785