Medical image computing for next-generation healthcare technology

这一平台的核心是对医疗技术未来的展望，这是因为来自大规模数据收集计划的丰富和多样化数据的可用性越来越高。我们的愿景是利用这些数据量来丰富在护理点获得的稀疏数据。例如，一次临床MRI或超声扫描，加上特定于受试者的临床数据(年龄、性别、症状、遗传学)，可以索引一个集中的数据量，通过与了解更多信息的相似个人进行匹配，推断可能的诊断、预后和治疗结果。同样的范例还使廉价和/或小型和/或低功率设备能够在非专业位置获取数据，例如便携式或手持扫描仪，或外科器械中的微型成像设备。平台资金将保持我们在一系列医学图像计算主题方面的世界领先活动，支持目前不同的工作方向的协调，以实现共同的短期利益，并开发关键的使能技术和我们长期愿景的示范者。我们目前的工作开发了最先进的成像技术、图像分析技术以及数学和计算模型，以最大化包含在大数据集中和从大数据集中获得的信息。我们还开发了一系列自动化诊断系统和手术支持系统，可以展示数据驱动的范例的好处。平台资助支持申请者的职业发展，相关的学术人员池，有才华的博士后研究人员，以及通过EPSRC相关中心进行医学成像博士培训的学生。该平台为所有人提供了跨越不同主题之间边界的新想法的机会，同时为支持各种未来研究事业的中心长期愿景做出贡献。在资深同事的密切指导下，资源的竞争性分配为职业早期研究人员灌输了成功未来职业所需的基本学术技能。它通过支持获得新技能、建立新合作关系、探索商业化以及在机会出现时从世界各地招聘最佳员工的机会，进一步促进我们高级员工的职业发展。

At the heart of this platform is a vision of the future of medical technology enabled by the increasing availability of rich and diverse data from large-scale data collection initiatives. The vision is to exploit this data mass to enrich sparse data acquired at point of care. For example, a single clinical MRI or ultrasound scan, together with subject-specific clinical data (age, sex, symptoms, genetics) can index a centralised data mass to infer likely diagnosis, prognosis, and treatment outcomes by matching to similar individuals about whom much more is known. The same paradigm further enables cheap and/or small and/or low-power devices able to acquire data in non-specialist locations, such as portable or hand-held scanners, or tiny imaging devices in surgical instruments. Platform funding will maintain our world-leading activities in a range of medical image computing topics, support alignment of currently distinct strands of work for mutual short-term benefit, and develop key enabling technology and demonstrators of our long-term vision. Our current work develops state of the art imaging technology, image analysis techniques, and mathematical and computational models that maximise the information contained in and derived from large data sets. We also develop a range of automated diagnostic systems and surgical support systems that can demonstrate the benefits of the data-driven paradigm.Platform funding supports the career development of the applicants, a pool of associated academic staff, talented post-doctoral researchers, and students coming through an associated EPSRC Centre for Doctoral Training in Medical Imaging. The platform provides opportunities for all to develop new ideas crossing boundaries between different topics, while contributing to a central long-term vision that supports a variety of future research careers. Competitive allocation of resource under close mentorship of senior colleagues instils early-career researchers with essential academic skills required for successful future careers. It further enhances the career progression of our senior staff by supporting opportunities to acquire new skills, establish new collaborations, explore commercialisation, and recruit the best staff from around the world when opportunities arise.