| EPSRC Reference: |
GR/S08916/01 |
| Title: |
Modelling and understanding of immature brain development using statistical models of shape and appearance |
| Principal Investigator: |
Rueckert, Professor D |
| Other Investigators: |
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| Project Partners: |
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| Department: |
Computing |
| Organisation: |
Imperial College London |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 April 2003 |
Ends: |
31 March 2006 |
Value (£): |
257,204
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| EPSRC Research Topic Classifications: |
| Biomedical neuroscience |
Image & Vision Computing |
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| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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Over 60% of infants born below 26 weeks gestational age show signs of neuro-developmental impairment. In 10-20% this is a predominantly motor impairment or cerebral palsy but in the remainder the impairment is neuro-cognitive or neuro-behavioural. The infant born pre-term is exposed to numerous potentially damaging factors such as infection, drugs, hypoxia, and inadequate nutrition, and deprived of the normal intrauterine environment. Pre-term delivery is often due to infection, which may also have a profound effect on the developing brain. Currently, the mechanisms for this and the effects of various forms of treatment during the neonatal care on the neuro-developmental impairment are not well understood.In this proposal, we aim to build a statistical model of the normal neuroanatomy and its growth patterns during the early stages of development. Using a group of 30 to 50 pre-term infants without abnormalities we will construct a statistical model of the development of brain shape and appearance in form of an atlas. This atlas will describe the normal development in brain anatomy and will act as a reference space in which to compare growth patterns from different subjects. The construction of such a statistical model of neonatal anatomy and growth patterns will require the development of novel computational techniques for non-rigid registration and computational morphometry. We will combine the development of these techniques with expert knowledge of the developing brain
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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.imperial.ac.uk |