| EPSRC Reference: |
GR/M47294/01 |
| Title: |
QUANTIFYING & CORRECTING FOR INTRAOPERATIVE BRAIN DEFORMATION |
| Principal Investigator: |
Hill, Professor DL |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Computational Imaging Science Group SM |
| Organisation: |
Kings College London |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 June 1999 |
Ends: |
30 September 2002 |
Value (£): |
288,434
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| EPSRC Research Topic Classifications: |
| Image & Vision Computing |
Intelligent Measurement Sys. |
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| EPSRC Industrial Sector Classifications: |
| Healthcare |
No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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Brian deformation during neurosurgery can result in errors of a centimeter or more when using pre-operative images (eg Magnetic Resonance Imaging) for intraoperative guidance. In this project we will quantify brain deformation using intraoperatively acquired MR image volumes (collected in collaboration with the University of Minnesota). We will compare deformation during resection with burr hole procedures (biopsy and functional surgery). We will determine which tissues change volume, and, using this information, build a finite element model to test whether visco-elastic or porosity models can predict the observed deformation fields. We will use the information learned from this modelling to devise deformation algorithms that will run sufficiently fast for intraoperative use. These algorithms will be tested using the interventinal MR data, and also intraoperative ultrasound collected from our collaborating neurosurgeons in London.
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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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