| EPSRC Reference: |
GR/N14248/01 |
| Title: |
FROM MEDICAL IMAGES AND SIGNALS TO CLINICAL INFORMATION |
| Principal Investigator: |
Brady, Professor Sir JM |
| Other Investigators: |
| Smith, Professor SM |
Tarassenko, Professor L |
Graham, Dr J |
| Hawkes, Professor D |
Beatty, Dr PC |
Cootes, Professor TF |
| Jackson, Professor A |
Hill, Dr D |
Marsden, Professor P |
| Linney, Professor A |
Todd-Pokropek, Professor A |
Taylor, Professor CJ |
| Delpy, Professor DT |
Arridge, Professor SR |
Astley, Dr SM |
| Taylor, Professor C |
Simmons, Dr A |
Thacker, Dr NA |
| Noble, Professor A |
Buckland-Wright, Professor J |
Hill, Professor DL |
|
| Researcher Co-Investigators: |
|
| Project Partners: |
|
| Department: |
Engineering Science |
| Organisation: |
University of Oxford |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
02 January 2001 |
Ends: |
01 October 2007 |
Value (£): |
8,241,936
|
| EPSRC Research Topic Classifications: |
| Image & Vision Computing |
Instrumentation Eng. & Dev. |
| Intelligent & Expert Systems |
|
|
| EPSRC Industrial Sector Classifications: |
|
| Related Grants: |
|
| Panel History: |
|
|
Summary on Grant Application Form |
|
Images and signals can now be obtained cost-effectively over a range of spatial and temporal scales. These offer the potential for more timely and accurate diagnosis; but the flood of data creates as many problems as opportunities. Clinicians need information not data, where information comprises data plus interpretation (clinical relevance). Transforming an unmanageable flood of data into a manageable stream of clinically relevant information presents a major challenge for IT research. The proposed IRC will provide a focus for world-class research aimed at overcoming the key scientific and technological barriers to the development of clinically effective informatics systems. To achieve a balance between scientific push and application pull, the programme will be organised around four generic themes and six scientific clinical exemplars. The themes are information fusion, robust information extraction, intelligent information acquisition, and modelling, which underpins the first three themes by providing methods for explaining observed data in terms of underlying structure and function. The six clinical exemplars are: bones and joints; stroke and brain injury; from high dependency care to home monitoring; cardiovascular disease; oncology; and minimally-invasive therapy. The aim of the IC is to develop world-class IT that addresses some of the most pressing clinical problems confronting society.
|
|
Key Findings |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Potential use in non-academic contexts |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Impacts |
|
| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
|
| Date Materialised |
|
|
|
|
Sectors submitted by the Researcher |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
| Project URL: |
http://www.robots.ox.ac.uk/~irc/ |
| Further Information: |
|
| Organisation Website: |
http://www.ox.ac.uk |