| EPSRC Reference: |
EP/W005565/1 |
| Title: |
Shape modelling for predicting risk of early-onset hip osteoarthritis |
| Principal Investigator: |
Shardlow, Dr T |
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| Department: |
Mathematical Sciences |
| Organisation: |
University of Bath |
| Scheme: |
Standard Research - NR1 |
| Starts: |
04 July 2022 |
Ends: |
01 September 2023 |
Value (£): |
78,105
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| EPSRC Research Topic Classifications: |
| Image & Vision Computing |
Mathematical Analysis |
| Medical Imaging |
Non-linear Systems Mathematics |
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Summary on Grant Application Form |
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Osteoarthritis of the hip is one of the most prevalent musculoskeletal disorders and gives rise to a large level of disability, carrying a significant burden for individuals' quality of life, society and healthcare provision systems. The research will develop novel image-processing techniques to identify pelvis shapes at highest risk of developing OA. Early diagnosis is essential for successful intervention, and we will provide practical techniques for automating this task using computed tomography (CT) images of the pelvis. We will achieve this by modelling the shape of the pelvis and classifying shapes at risk of early-onset osteoarthritis. To infer shapes at risk, we will exploit a set of two-hundred CT scans that have been annotated by medics.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.bath.ac.uk |