The United Kingdom has a strong history of having developed imaging techniques and technologies that allow us to visualize a range of biomedical phenomena, from being able to visualise molecules inside individual cells, to being able to take pictures non invasively inside patients. Examples of this include the pioneering work done by Sir Godfrey Hounsfield (Nobel Prize winner and co-inventor of the Computed Tomography scanner), and Sir Peter Mansfield of Nottingham University (Nobel Prize winner and co-inventor of magnetic resonance imaging). A recent report from two of the UK Research Councils showed that the UK still has a world-leading research profile in this area, but also showed that there was a shortage of trained UK individuals who are experts in medical imaging. This means that our research institutions and industries struggle to employ suitably qualified individuals, and either have to employ non-UK nationals or cannot undertake the work they wish to. The aim of this Centre for Doctoral Training is therefore to address the need for more trained imaging scientists by linking together two of the UK's top research-intensive universities to deliver a rigorous training programme in this area. In particular, and in response to the needs expressed both by our industry colleagues and by our NHS colleagues, we will put in place a doctoral training programme that gives students an understanding of the full landscape of medical imaging (e.g. different types of imaging, different scales of imaging from cellular imaging up to whole human imaging, and different ways of analyzing the resulting images). Since these will mostly be students with a background in the physical sciences (physics, engineering and mathematics) we will also provide them with a training in the basic biology of cells, and in the range of diseases in which medical imaging can make a difference. Following a first year of training the students will work in specialist research laboratories in Oxford and Nottingham (with some students working between the two institutions). Both universities have world-renowned scientists and excellent facilities to host research projects for the students, culminating in each student receiving a doctoral degree from either Nottingham or Oxford. The range of research and opportunities available to these students is very large, with researchers in both institutions working at all scales of medical imaging (single cells to whole humans), and on various diseases, including cancer, brain disorders, and heart disorders. As major partners we will work with colleagues from industry so that our students gain experience in working in an industry environment, and so that some of the projects they work on are ones that are proposed by industry. This partnership will also help us produce trained experts who have an appreciation for the way that industry operates, and an understanding of how research ideas can be commercialized so that they become a source of income to the nation. We believe that by having a rigorous doctoral training programme like this we will ensure that the UK is well placed to compete academically and industrially in the future. We also believe that there will be benefits to the NHS, since our graduates will develop imaging techniques that will refine the way the NHS treats us, thus saving money and making the treatments that we receive more relevant to us as individuals.

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.

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.