EPSRC logo

Details of Grant 

EPSRC Reference: EP/S022104/1
Title: EPSRC Centre for Doctoral Training in Smart Medical Imaging at King's College London and Imperial College London
Principal Investigator: Schnabel, Professor JA
Other Investigators:
Prieto, Dr C Long, Professor Nicholas
Researcher Co-Investigators:
Project Partners:
AstraZeneca UK Limited Biotronics 3D Ltd Brainminer
Brigham and Women's Hospital GE Healthcare German Cancer Res Ctr (Helmholtz)
GlaxoSmithKline plc (GSK) Graduiertenkolleg BIOQIC GSTT NIHR Biomedical Research Centre
HeartFlow Inc. icoMetrix Image Analysis Group
Imanova Limited King's College Hospital NHS Foundn Trust Lightpoint Medical Ltd
Massachusetts General Hospital East Massachusetts Institute of Technology Medicines Discovery Catapault
Memorial Sloan- Kettering Cancer Centre Mirada Medical UK MR Code BV
Nagoya University NIHR Imperial Biomedical Research Centre NVIDIA Limited
Optellum Ltd Perspectum Diagnostics Philips
quibim Radiologics Siemens Healthineers
South London and Maudsley NHS Trust Stanford University The University of Hong Kong
Theragnostics Ltd TheraPanacea Ultromics Ltd
University of Copenhagen University of Lausanne (UNIL) Vienna General Hospital
Xtronics Ltd.
Department: Imaging & Biomedical Engineering
Organisation: Kings College London
Scheme: Centre for Doctoral Training
Starts: 01 October 2019 Ends: 31 March 2028 Value (£): 6,022,394
EPSRC Research Topic Classifications:
Image & Vision Computing Intelligent Measurement Sys.
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
Medical imaging has made major contributions to healthcare, by providing noninvasive diagnostics, guidance, and unparalleled monitoring of treatment and understanding of disease. A suite of multimodal imaging modalities is nowadays available, and scanner hardware technology continues to advance, with high-field, hybrid, real-time and hand-held imaging further pushing on technological boundaries; furthermore, new developments of contrast agents and radioactive tracers open exciting new avenues in designing more targeted molecular imaging probes. Conventionally, the individual imaging components of probes and contrast mechanisms, acquisition and reconstruction, and analysis and interpretation are addressed separately. This however, is creating unnecessary silos between otherwise highly synergistic disciplines, which our current EPSRC CDT in Medical Imaging at King's College London and Imperial College London has already started to successfully challenge. Our new CDT will push this even further by bridging the different imaging disciplines and clinical applications, with the interdisciplinary research based on complementary collaborations and new research directions that would not have been possible five years ago.

Through a comprehensive, integrated training programme in Smart Medical Imaging we will train the next generation of medical imaging researchers that is needed to reach the full potential of medical imaging through so-called "smart" imaging technologies. To achieve this ambitious goal we have developed four new Scientific Themes which are synergistically interlinked: AI-enabled Imaging, Smart Imaging Probes, Emerging Imaging and Affordable Imaging. This is complemented by a dedicated 1+3 training programme, with a new MRes in Healthcare Technologies at King's as the foundation year, strong industry links in form of industry placements, careers mentoring and workshops, entrepreneurship training, and opportunities in engaging with international training programmes and academic labs to become part of a wider cohort. Cohort building, Responsible Research & Innovation, Equality, Diversity & Inclusion, and Public Engagement will be firmly embedded in this programme. Students graduating from this CDT will have acquired a broad set of scientific and transferable skills that will enable them to work across the different medical imaging sub-disciplines, gaining a high employability over wider sectors.

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: