Evaluation of indirect methods for motion compensation in 2D focal liver lesion Contrast-Enhanced Ultrasound (CEUS) imaging
- Submitting institution
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Kingston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-23-1356
- Type
- D - Journal article
- DOI
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10.1016/j.ultrasmedbio.2019.01.023
- Title of journal
- Ultrasound in Medicine and Biology
- Article number
- -
- First page
- 1380
- Volume
- 45
- Issue
- -
- ISSN
- 0301-5629
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2019
- URL
-
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- Supplementary information
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- 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
-
-
- Research group(s)
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- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Contrast-Enhanced Ultrasound (CEUS) is a fast new imaging technology that acquired FDA approval for the characterisation of liver lesions in 2016. This paper is significant as it evaluates various motion segmentation methods applied in the challenging modality of CEUS videos. Moreover, in collaboration with UK and Greek clinicians, this paper proposes a novel quantitative multi-level framework for evaluating the quantification of focal liver lesions, which, to the best of our knowledge, remains undefined.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -