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Details of Grant 

EPSRC Reference: EP/L016478/1
Title: EPSRC Centre for Doctoral Training in Medical Imaging
Principal Investigator: Zhang, Professor HG
Other Investigators:
Lythgoe, Dr M Rees, Professor GE Hawkes, Professor D
Researcher Co-Investigators:
Project Partners:
Agency for Science Technology (A Star) Agilent Technologies Ltd Alzheimer's Research UK
Alzheimer's Society Beijing Normal University Blackford Analysis Ltd
Brain Products GmbH Bruker Cancer Research UK
Child Health Research Appeal Trust Creatv MicroTech Danish Research Centre for Magnetic Reso
Dexela Ltd Elekta ESI
Fujifilm Visualsonics Inc GE Healthcare Great Ormond Street Hospital
Hamamatsu Photonics UK Ltd Hitachi Ltd icometrix
Imaging Equipment Ltd INRIA Sophia-Antipolis IXICO Technologies Ltd
Lightpoint Medical Ltd Mediso Medtronic
Microsoft Millennium the Takeda Oncology Company Mirada Solutions
Moorfields Eye Hosp NHS Foundation Trust MR Solutions Limited Netherlands Cancer Institute
Olea Medical Pelican Cancer Foundation Philips
PRECISE Center, University of Pennsylvan Precision Acoustics Ltd PulseTeq Ltd
RAPID Biomedical GmbH Renishaw Rigaku
Samsung Electronics UK Ltd Siemens Teraview Ltd
The Francis Crick Institute The Huntington's Disease Association UCL
University of Utah Vision RT Ltd Wolfson Foundation
Yale University
Department: Medical Physics and Biomedical Eng
Organisation: UCL
Scheme: Centre for Doctoral Training
Starts: 01 April 2014 Ends: 22 October 2023 Value (£): 5,797,793
EPSRC Research Topic Classifications:
Med.Instrument.Device& Equip.
EPSRC Industrial Sector Classifications:
Related Grants:
Panel History:
Panel DatePanel NameOutcome
23 Oct 2013 EPSRC CDT 2013 Interviews Panel G Announced
Summary on Grant Application Form
Medical imaging has transformed clinical medicine in the last 40 years. Diagnostic imaging provides the means to probe the structure and function of the human body without having to cut open the body to see disease or injury. Imaging is sensitive to changes associated with the early stages of cancer allowing detection of disease at a sufficient early stage to have a major impact on long-term survival. Combining imaging with therapy delivery and surgery enables 3D imaging to be used for guidance, i.e. minimising harm to surrounding tissue and increasing the likelihood of a successful outcome. The UK has consistently been at the forefront of many of these developments. Despite these advances we still do not know the most basic mechanisms and aetiology of many of the most disabling and dangerous diseases. Cancer survival remains stubbornly low for many of the most common cancers such as lung, head and neck, liver, pancreas. Some of the most distressing neurological disorders such as the dementias, multiple sclerosis, epilepsy and some of the more common brain cancers, still have woefully poor long term cure rates. Imaging is the primary means of diagnosis and for studying disease progression and response to treatment. To fully achieve its potential imaging needs to be coupled with computational modelling of biological function and its relationship to tissue structure at multiple scales. The advent of powerful computing has opened up exciting opportunities to better understand disease initiation and progression and to guide and assess the effectiveness of therapies. Meanwhile novel imaging methods, such as photoacoustics, and combinations of technologies such as simultaneous PET and MRI, have created entirely new ways of looking at healthy function and disturbances to normal function associated with early and late disease progression. It is becoming increasingly clear that a multi-parameter, multi-scale and multi-sensor approach combining advanced sensor design with advanced computational methods in image formation and biological systems modelling is the way forward.

The EPSRC Centre for Doctoral Training in Medical Imaging will provide comprehensive and integrative doctoral training in imaging sciences and methods. The programme has a strong focus on new image acquisition technologies, novel data analysis methods and integration with computational modelling. This will be a 4-year PhD programme designed to prepare students for successful careers in academia, industry and the healthcare sector. It comprises an MRes year in which the student will gain core competencies in this rapidly developing field, plus the skills to innovate both with imaging devices and with computational methods. During the PhD (years 2 to 4) the student will undertake an in-depth study of an aspect of medical imaging and its application to healthcare and will seek innovative solutions to challenging problems. Most projects will be strongly multi-disciplinary with a principle supervisor being a computer scientist, physicist, mathematician or engineer, a second supervisor from a clinical or life science background, and an industrial supervisor when required. Each project will lie in the EPSRC's remit.

The Centre will comprise 72 students at its peak after 4 years and will be obtaining dedicated space and facilities. The participating departments are strongly supportive of this initiative and will encourage new academic appointees to actively participate in its delivery. The Centre will fill a significant skills gap that has been identified and our graduates will have a major impact in academic research in his area, industrial developments including attracting inward investment and driving forward start-ups, and in advocacy of this important and expanding area of medical engineering.

Key Findings
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