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Details of Grant 

EPSRC Reference: EP/S021930/1
Title: EPSRC Centre for Doctoral Training in Intelligent, Integrated Imaging In Healthcare (i4health)
Principal Investigator: Zhang, Dr HG
Other Investigators:
Barkhof, Professor F Drobnjak, Dr I Thielemans, Dr KF
Denaxas, Dr S Punwani, Dr S Clarkson, Dr MJ
Blandford, Professor A Hebden, Professor JC Alexander, Professor D
Researcher Co-Investigators:
Project Partners:
Alzheimer's Research UK Alzheimer's Society BIOGEN (UK) Ltd
Brain Products GmbH Bruker COSMONiO Ltd
Creatv MicroTech Cystic Fibrosis Trust DIAMOND light source Ltd
Digital Surgery Direct Conversion GmbH Elekta
ELI Lilly and Company Fujifilm GE Healthcare
GlaxoSmithKline plc (GSK) Gold Standard Phantoms Great Ormond Street Hospital
icoMetrix Indigo Scientific Ltd Intuitive Surgical Inc
IXICO Technologies Ltd Max Planck Institutes (Grouped) Mediso
Mirada Medical UK Moorfields Eye Hosp NHS Foundation Trust Motor Neurone Disease Association
MR Solutions Limited Multiple Sclerosis (MS) Society UK National Physical Laboratory
Nikon Metrology UK Ltd Perceive3D Philips Healthcare (Global)
Precision Acoustics Ltd QMENTA Imaging SL Rigaku
Scintacor Ltd Shimadzu Corporation Siemens
SmartTarget Ltd Stanford University Medical School The Rosalind Franklin Institute
UCL Hospitals NHS Trust Vision RT Ltd Visulytix Ltd
Department: Medical Physics and Biomedical Eng
Organisation: UCL
Scheme: Centre for Doctoral Training
Starts: 01 October 2019 Ends: 31 March 2028 Value (£): 6,034,274
EPSRC Research Topic Classifications:
Artificial Intelligence Med.Instrument.Device& Equip.
Medical Imaging
EPSRC Industrial Sector Classifications:
Healthcare
Related Grants:
Panel History:
Panel DatePanel NameOutcome
07 Nov 2018 EPSRC Centres for Doctoral Training Interview Panel N – November 2018 Announced
Summary on Grant Application Form
We propose to create the EPSRC Centre for Doctoral Training (CDT) in intelligent integrated imaging in healthcare (i4health) at University College London (UCL). Our aim is to nurture the UK's future leaders in next-generation medical imaging research, development and enterprise, equipping them to produce future disruptive healthcare innovations either focused on or including imaging.



Building on the success of our current CDT in Medical Imaging, the new CDT will focus on an exciting new vision: to unlock the full potential of medical imaging by harnessing new associated transformative technologies enabling us to consider medical imaging as a component within integrated healthcare systems. We retain a focus on medical imaging technology - from basic imaging technologies (devices and hardware, imaging physics, acquisition and reconstruction), through image computing (image analysis and computational modeling), to integrated image-based systems (diagnostic and interventional systems) - topics we have developed world-leading capability and expertise on over the last decade. Beyond this, the new initiative in i4health is to capitalise on UCL's unique combination of strengths in four complementary areas: 1) machine learning and AI; 2) data science and health informatics; 3) robotics and sensing; 4) human-computer interaction (HCI). Furthermore, we frame this research training and development in a range of clinical areas including areas in which UCL is internationally leading, as well as areas where we have up-and-coming capability that the i4health CDT can help bring to fruition: cancer imaging, cardiovascular imaging, imaging infection and inflammation, neuroimaging, ophthalmology imaging, pediatric and perinatal imaging. This unique combination of engineering and clinical skills and context will provide trainees with the essential capabilities for realizing future image-based technologies. That will rely on joint modelling of imaging and non-imaging data to integrate diverse sources of information, understanding of hardware the produces or uses images, consideration of user interaction with image-based information, and a deep understanding of clinical and biomedical aims and requirements, as well as an ability to consider research and development from the perspective of responsible innovation.

Building on our proven track record, we will attract the very best aspiring young minds, equipping them with essential training in imaging and computational sciences as well as clinical context and entrepreneurship. We will provide a world-class research environment and mentorship producing a critical mass of future scientists and engineers poised to develop and translate cutting-edge engineering solutions to the most pressing healthcare challenges.

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