| EPSRC Reference: |
GR/S41340/01 |
| Title: |
Structure Creation Using Limited Point Topology-Evidence in Radiotherapy (SCULPTER) |
| Principal Investigator: |
Moore, Professor CJ |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
North Western Medical Physics |
| Organisation: |
Christie NHS Foundation Trust |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
20 February 2004 |
Ends: |
19 February 2007 |
Value (£): |
181,437
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| EPSRC Research Topic Classifications: |
| Image & Vision Computing |
Medical science & disease |
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| EPSRC Industrial Sector Classifications: |
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| Related Grants: |
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| Panel History: |
| Panel Date | Panel Name | Outcome |
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11 Apr 2003
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Eng Prioritisation Panel (Healthcare) 11Apr 03
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Deferred
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Summary on Grant Application Form |
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The project researches machine assisted 3Dt structure creation encapsulating expert clinical knowledge, focussing on the high variability in the delineation of ICRU conceptual target volumes and the actual anatomy of organs-at-risk (OAR), which is compromising the adoption of advanced radiotherapy for the treatment of high incidence cancers. A new deformable target volume and OAR paradigm, which exploits the 'self-mapping' potential of configurable, compact radial basis functions to produce mathematically defined objects, will be researched. Specifically, simple topologial primitives that represent the clinical objects will be geodetically and iteratively mapped onto very sparse, irregular sets of expertly defined points in CT/MRI image volumes. Detailed, model topological primitives will then evolve, with space variant measures of confidence, to objectively underpin future clinical delineation and inform the scientific imaging community. Customised primitives will facilitate topology transfer and tracking within the deforming environment of dynamically acquired image volumes, which is currently intractable. Mathematically defined, deforming objects will then be used in leading edge treatment planning. Hitherto unrecognised static and dynamic structural relationships between target disease and OARs will be extracted directly from images and used to explore novel segmentation, which automatically primes the topological primitive selection without expert intervention. The results and knowledge will be embedded in a practical 'sculpting' tool for clinical evaluation and potentially wide ranging, generic exploitation.
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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.christie.nhs.uk |