Beyond Bernoulli : Improving the Accuracy and Precision of Noninvasive Estimation of Peak Pressure Drops
- Submitting institution
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King's College London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 72157610
- Type
- D - Journal article
- DOI
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10.1161/CIRCIMAGING.116.005207
- Title of journal
- Circulation-Cardiovascular imaging
- Article number
- e005207
- First page
- -
- Volume
- 10
- Issue
- 1
- ISSN
- 1941-9651
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2017
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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7
- Research group(s)
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- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Timing of surgery to solve flow constrictions (e.g. aortic stenosis) is key, but currently relies on limited echocardiographic or catheterised observations of the extra burden caused. This paper proposes a more accurate and precise non-invasive computational method to assess the extra burden caused by flow constrictions, and underpins follow-up research (BHF translational award [TG/17/3/33406], Wellcome Senior Fellowship [209450/Z/17/Z]) towards an improved clinical stratification compared to echocardiography, and with much less costs and risks compared to invasive catheterised sensors. Associated patent (US20190082970A1) underpins collaborative agreements with industrial partner (Gyrotools, gerard.crelier@gyrotools.com). The technology was illustrated at the Victoria and Albert Museum (https://www.cellule.co.uk/project-kalosastis/).
- Author contribution statement
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- Non-English
- No
- English abstract
- -