| EPSRC Reference: |
EP/N014588/1 |
| Title: |
EPSRC Centre for Mathematical and Statistical Analysis of Multimodal Clinical Imaging |
| Principal Investigator: |
Schönlieb, Professor C |
| Other Investigators: |
| Williams, Dr GB |
Bullmore, Professor E |
Reichelt, Dr S |
| Gilbert, Professor FJ |
Hansen, Professor A |
Aston, Professor Sir JAD |
| Burnet, Professor NG |
Fokas, Professor A |
Treece, Professor GM |
| Jena, Dr R |
Rudd, Professor J |
Samworth, Professor RJ |
| Bohndiek, Professor SE |
|
|
|
| Researcher Co-Investigators: |
|
| Project Partners: |
|
| Department: |
Pure Maths and Mathematical Statistics |
| Organisation: |
University of Cambridge |
| Scheme: |
Standard Research |
| Starts: |
01 March 2016 |
Ends: |
31 August 2020 |
Value (£): |
1,923,014
|
| EPSRC Research Topic Classifications: |
| Med.Instrument.Device& Equip. |
Numerical Analysis |
| Statistics & Appl. Probability |
|
|
| EPSRC Industrial Sector Classifications: |
|
| Related Grants: |
|
| Panel History: |
| Panel Date | Panel Name | Outcome |
|
09 Sep 2015
|
Maths in Healthcare - Interviews
|
Announced
|
|
|
Summary on Grant Application Form |
|
Applied Mathematics and Statistics are routinely seen as separate disciplines. However, many of the methodological challenges in image analysis, particularly from the types of multiscale multimodal images available from Neurological, Cardiovascular and Oncology imaging, illustrate that a combined approach, dissolving intradisciplinary mathematical boundaries, is the only possible way forward if a step-change in image analysis of combined data is to occur. This Centre will foster links between applied maths and statistics, particularly high dimensional and functional statistical analysis with applied and computational numerical analysis, through the focus on multimodal imaging data. The Centre proposes to provide a research focus on bringing state-of-the-art mathematical tools to clinical end users through collaborations both within mathematics and between mathematics and healthcare professionals, particularly those in oncology, cardiovascular medicine and neurology. This will ultimately lead to new mathematical frontiers, joining statistics and computational mathematics, as well as a move away from individual image analysis to a holistic approach to all available imaging, from the cellular to systems scale, for clinical diagnosis, prognosis and treatment planning.
|
|
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: |
|
| Further Information: |
|
| Organisation Website: |
http://www.cam.ac.uk |