EPSRC Centre for Doctoral Training in Intelligent, Integrated Imaging In Healthcare (i4health)

我们建议在伦敦大学学院（UCL）创建EPSRC博士培训中心（CDT），从事医疗保健（i4health）的智能集成成像。我们的目标是培养英国下一代医学成像研究，开发和企业的未来领导者，使他们能够产生未来的颠覆性医疗创新，无论是专注于或包括成像。在我们目前的CDT在医学成像领域取得成功的基础上，新的CDT将专注于一个令人兴奋的新愿景：通过利用新的相关变革性技术，使我们能够将医学成像视为集成医疗保健系统中的一个组成部分，从而释放医学成像的全部潜力。我们专注于医学成像技术-从基本成像技术（设备和硬件，成像物理学，采集和重建），通过图像计算（图像分析和计算建模），到集成的基于图像的系统（诊断和介入系统）-我们在过去十年中开发了世界领先的能力和专业知识。除此之外，i4health的新举措是利用UCL在四个互补领域的独特优势组合：1）机器学习和人工智能; 2）数据科学和健康信息学; 3）机器人和传感; 4）人机交互（HCI）。此外，我们在一系列临床领域开展这项研究培训和开发，包括UCL在国际上领先的领域，以及i4health CDT可以帮助实现的新兴能力领域：癌症成像，心血管成像，感染和炎症成像，神经成像，眼科成像，儿科和围产期成像。这种独特的工程和临床技能和背景的结合将为学员提供实现未来基于图像的技术的基本能力。这将依赖于成像和非成像数据的联合建模，以整合各种信息来源，了解产生或使用图像的硬件，考虑用户与基于图像的信息的互动，以及对临床和生物医学目标和要求的深刻理解，以及从负责任的创新角度考虑研究和开发的能力。在我们良好的业绩基础上，我们将吸引最优秀的有抱负的年轻人，为他们提供成像和计算科学以及临床背景和创业精神的基本培训。我们将提供世界一流的研究环境和指导，培养大量未来的科学家和工程师，他们将开发和翻译尖端的工程解决方案，以应对最紧迫的医疗保健挑战。

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.