Parametric model of human body shape and ligaments for patient-specific epidural simulation
- Submitting institution
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Bournemouth University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 178365
- Type
- D - Journal article
- DOI
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10.1016/j.artmed.2014.08.005
- Title of journal
- Artificial Intelligence in Medicine
- Article number
- 0
- First page
- 129
- Volume
- 62
- Issue
- 2
- ISSN
- 0933-3657
- Open access status
- Out of scope for open access requirements
- Month of publication
- September
- Year of publication
- 2014
- URL
-
-
- 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
- Yes
- Number of additional authors
-
-
- Research group(s)
-
-
- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper developed a parametric model of human body shapes based on clinical data from patients and obtained from the National Centre for Health Statistics, USA. This was found to be within 3.5mm accuracy to predict ligament sizes for clinical procedures. This paper was used as the basis for several papers in this area for automated prediction (see citations). This formed the basis of predicting implant sizes in orthopaedic surgery which led to winning the Institution of Engineering and Technology Innovation Award in 2016 and was shortlisted for the Times Higher Education (THE) Award in ICT in 2014.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -