Line detection as an inverse problem : application to lung ultrasound imaging
- Submitting institution
-
University of Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 148415027
- Type
- D - Journal article
- DOI
-
10.1109/TMI.2017.2715880
- Title of journal
- IEEE Transactions on Medical Imaging
- Article number
- -
- First page
- 2045
- Volume
- 36
- Issue
- 10
- ISSN
- 0278-0062
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
C - Visual Information Lab
- Citation count
- 17
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper proposed the world’s first automatic B-line quantification method in lung ultrasound images of children on dialysis. The method described therein is largely considered as the state of the art in line artefact detection in lung ultrasonography. It has recently been applied to lung assessment of COVID-19 patients, being adopted as reference method in 4 papers published in a dedicated special issue of the IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (Nov. 2020). It also led to a keynote address by Achim at the IEEE International Symposium on Electronics and Telecommunications (ISETC 2018).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -