| EPSRC Reference: |
GR/M75785/01 |
| Title: |
RANDOM TREES, VASCULAR STRUCTURES AND OCT-TREES |
| Principal Investigator: |
Kendall, Professor W |
| Other Investigators: |
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| Department: |
Statistics |
| Organisation: |
University of Warwick |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 November 1999 |
Ends: |
30 April 2003 |
Value (£): |
176,020
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| EPSRC Research Topic Classifications: |
| Statistics & Appl. Probability |
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| EPSRC Industrial Sector Classifications: |
| Healthcare |
Creative Industries |
| No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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It is proposed to provide a better segmentation of noisy and ambiguous vein/arterial data sets, by using a combination of multi-resolution signal analysis tools (to reduce the very large 3D data sets by using data representation in terms of oct-trees) and then a stochastic geometry based on Markov Chain Monte Carlo on families of random tress so as to infer the tree-like structure underlying the data set.
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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.warwick.ac.uk |