Microbubble Axial Localization Errors in Ultrasound Super-Resolution Imaging
- Submitting institution
-
London South Bank University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 274464
- Type
- D - Journal article
- DOI
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10.1109/TUFFC.2017.2741067
- Title of journal
- IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
- Article number
- -
- First page
- 1644
- Volume
- 64
- Issue
- 11
- ISSN
- 0885-3010
- Open access status
- Technical exception
- Month of publication
- August
- Year of publication
- 2017
- URL
-
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8012401
- 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
-
7
- Research group(s)
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A - The BioEngineering Research Centre
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A new model to localize nonlinear microbubbles was proposed for super-resolution ultrasound imaging, which was later used to generate the first super-resolution image in human volunteers. The model was also used to enable the imaging of testicular lesions. This article formed the basis of the MRC fellowship (MR/S023542/1, £1,077,817), to further develop faster ways to acquire super-resolution images and start a large patient study. The outcome of this article was presented in the highest-profile conference in this field (RSNA 2018) and as invited talks at Harvard Medical School, European Space Agency, King’s College Hospital and University of North Carolina.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -