MOPED Follow On

爱丁堡大学的布莱克福德分析小组，总部设在天文学研究所，开发了一种先进的磁共振成像(MRI)扫描软件工具，该工具可以纠正运动，并通过消除患者在扫描过程中保持完全静止的要求来增强和改善图像。移动导致十分之一的扫描部分损坏或完全不可用，每台扫描仪每年浪费120,000 GB。在英国，每年浪费的扫描总数为3000万GB，在全球范围内超过13亿GB。这项技术的核心是专利的轻便摩托车算法，它可以实时去除这些运动伪影，从而产生适合诊断的高质量图像，否则无法获得这些图像。重要的是，这项技术使重病患者和如果没有镇静剂就不能保持静止的幼儿能够进行MRI扫描，并进一步将以前只能在研究环境中使用的先进成像技术带入常规临床使用。该公司的战略是剥离一家名为Blackford Analysis的公司，该公司最初将出售给研究机构，然后将其现有软件授权给大型核磁共振制造商。这将维持一个高增长的公司，提供基于使用MOPE算法平台开发的应用程序的其他解决方案。该基础技术平台已经在其他领域进行了演示，并成功应用于天体物理学中的光谱分析和图像处理。该公司将通过一系列涉及面部识别、高光谱成像和工业质量控制的进一步产品线，将业务扩展到医疗领域和其他领域的数据分析问题。爱丁堡大学将授予布莱克福德分析公司在全球范围内独家知识产权的权利，当知识产权变得明显时，可以自由地开发更多的应用领域。Blackford分析团队由经验丰富的临床医生和物理学家组成，他们设计算法并编写软件以建立与ISO 9000：2001体系兼容的质量体系，该体系符合FDA的要求并获得CE批准。适用于演示的技术原型已经到位，目前正在进一步开发，以产生一个可用于与现有技术进行基准比较的软件包。来自杰出的临床医生和主要制造商的兴趣已经得到了保证。后续基金的资源将用于通过市场研究和技术开发，进一步开发医学成像应用程序，并探索基于MOPED算法的其他应用程序。

The University of Edinburgh's Blackford Analysis team, based at the Institute for Astronomy, has developed an advanced software tool for Magnetic Resonance Imaging (MRI) scanning which corrects movement and enhances and improves images by removing the requirement for the patient to remain entirely still for the duration of the scan. Movement renders one tenth of all scans either partially corrupted or totally unusable, wasting £120,000 per scanner each year. This totals to £30 million of wasted scans per year in the UK and greater than £1.3 billion worldwide. At the heart of the technology is the patented MOPED algorithm, which can remove these motion artefacts in real-time, resulting in high quality images suitable for diagnosis which could not otherwise have been obtained. Importantly, this technology enables MRI scanning for severely ill patients and young children who cannot remain still without sedation, and further brings advanced imaging techniques, formerly only possible in a research environment, into routine clinical use. The strategy is to spin out a company, Blackford Analysis, which will initially sell to research organisations and then license its existing software to large MRI manufacturers. This will sustain a high growth company providing other solutions based on applications developed using the MOPED algorithm platform. The underlying technology platform has been demonstrated in other areas, with successful application to spectral analysis and image processing in astrophysics. The Company will expand to data analysis problems in the medical field and beyond through a pipeline of further products addressing facial recognition, hyperspectral imaging and industrial quality control. The University of Edinburgh will grant Blackford Analysis exclusive worldwide rights on the intellectual property, with freedom to develop further application areas as they become apparent. The Blackford Analysis team consists of experienced clinicians and physicists designing algorithms and writing software to a quality system designed to be compatible with an ISO 9000:2001 regime compliant with the requirements of the FDA and for CE approval. A prototype of the technology, suitable for presentations, is already in place and further development is underway to produce a software package which can be used to benchmark against existing techniques. Interest from luminary clinicians and major manufacturers has been secured. Resources from the Follow on Fund would be used to further the development of the medical imaging application, and exploration of other applications based on the MOPED algorithm, via market studies and technical development.