A Framework for Automatic Morphological Feature Extraction and Analysis of Abdominal Organs in MRI Volumes
- Submitting institution
-
The University of Westminster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- qxv67
- Type
- D - Journal article
- DOI
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10.1007/s10916-019-1474-3
- Title of journal
- Journal of Medical Systems
- Article number
- 334
- First page
- -
- Volume
- 43
- Issue
- -
- ISSN
- 1573-689X
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2019
- 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
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3
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The automatic 3D visualisation and accurate reconstruction of organs from radiological scans is essential for computer-aided diagnosis and for clinical and biomedical research. The proposed framework is significant because, differently from other available tools, it provides automatic morphological features measures that are used to establish a progression or severity of a disorder, improving diagnosis and therapy planning. Potential applications on establishing conditions in pancreas and liver have been demonstrated and evaluated on different MRI datasets and on a large cohort of volunteers. The code is publicly available online at https://github.com/med-seg/morph-feat-extract to support and foster clinical studies.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
