Submitted by Administrator on Fri, 18/09/2015 - 11:51
Investigators in the School of Clinical Medicine and the Department of Pure Mathematics & Mathematical Statistics have been awarded a £2M grant by the EPSRC to establish an EPSRC Centre for Mathematical and Statistical Analysis of Multimodal Clinical Imaging.
The award is led by Prof John Aston (Pure Mathematics & Mathematical Statistics) with Dr James Rudd (Medicine) as the Clinical School lead, and has several co-applicants across the University (Applied Mathematics & Theoretical Physics, Oncology, Physics, CRUK, Medicine, Engineering, The Wolfson Brain Imaging Centre, Radiology, and Psychiatry).
The Centre is due to open in March 2016 and will apply cutting-edge mathematics and statistics to investigate problems in cardiovascular medicine, oncology, neuroscience, radiology and other areas in the Clinical School.
These include, but are not limited to:
- Integration of imaging data into risk prediction scores in heart disease and stroke
- Real-time image reconstruction in cardiovascular imaging using combined statistical and variational approaches
- Integration of multimodal cancer imaging from tumour microscopy and histopathology to PET organ imaging through a rigorous mathematical framework
- Analysis of brain connectivity networks for clinical diagnosis and prognosis in Dementia
- Incorporating comprehensive e-hospital health record systems (EPIC) into image-based prognostic measures
- Real time classification and prediction for traumatic brain injury patients.
There are a number of external partners who will supply expertise to the Centre, including GSK, AstraZeneca, Cambridge Computed Imaging, Siemens, Microsoft Research and the Addenbrooke's Hospital Chief Clinical Information Officer, Dr Afzal Chaudhry.
The collaboration of these investigators is an example of the University's strategic research initiatives (SRIs) in action. Prof Martin Bennett, who leads the Cardiovascular SRI together with Prof Nick Morrell, added:
'I am really delighted by this collaboration between the Cardiovascular Strategic Research Initiative and that of Big Data illustrating the value of cross–disciplinary and cross- School working.'
