Automated Aortic Doppler Flow Tracing for Reproducible Research and Clinical Measurements
- Submitting institution
-
The University of West London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11005
- Type
- D - Journal article
- DOI
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10.1109/TMI.2014.2303782
- Title of journal
- IEEE Transactions on Medical Imaging
- Article number
- -
- First page
- 1071
- Volume
- 33
- Issue
- 5
- ISSN
- 0278-0062
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2014
- 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
-
9
- Research group(s)
-
-
- Citation count
- 10
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work presents development of a fully automated toolbox for echocardiographic Doppler measurements. Being highly impactful, this toolbox is currently used at St Mary’s and Hammersmith hospitals for conducting clinical research (contact: Prof D Francis, Imperial College). This was an important outcome of the FP7 European Research Council award (Grant agreement ID: 281524) with a total value of €1.5m. The technology developed also formed the basis of a successful 3-year British Heart Foundation Clinical Research Training Fellowship FS/14/25/30676 for research on Cardiac Resynchronisation Therapy (https://tinyurl.com/FS-14-25-30676).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -