PET-MR Motion Correction Based Purely on Routine Clinical Scans

纯粹基于常规临床扫描的 PET-MR 运动校正

• 批准号: EP/M009319/1
• 负责人: Andrew King
• 金额: $ 75.21万
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2015
• 资助国家: 英国
• 起止时间: 2015 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FM009319%2F1
• 关键词: PET; MR; Motion; Correction; Based; PET; MR; Motion; Correction; Based

Globally, cancer is one of the most dangerous and prevalent diseases affecting mankind. Each year, around 14 million people are diagnosed with cancer and 8 million people die from the disease. One of the primary means of diagnosing cancer and monitoring/planning its treatment is through the use of PET imaging. However, the problem of patient motion, such as that caused by breathing, seriously hinders the effectiveness of current PET scanners.One way of estimating breathing motion, so that its effects can be corrected for, is through the use of a second imaging modality. Traditionally, PET imaging has been combined with CT scanning because of its usefulness in reconstructing PET images. However, CT scanning delivers a significant radiation dose to the patient and is too slow to be able to estimate breathing motion effectively. Recently, a new generation of PET scanners have been introduced to the market, which combine PET with MR imaging. MR offers a highly promising source of information for estimating breathing motion. However, techniques to fully exploit the rich information provided by MR scanning are currently lacking.The aim of this proposal is to devise techniques for estimating breathing motion from MR and PET imaging data, for the purpose of motion correcting both the PET and MR data. If successful, the outcome of this research will be to improve the quality of PET-MR imaging. This will enable cancer to be diagnosed earlier, allowing potentially more effective treatment. In addition, it will be possible to monitor the progress of cancer treatment more reliably, and even make the treatment more targeted and effective.A key benefit of our proposed approach is that it will not require clinical workflows to be altered. Normally, MR and PET scans are performed for clinical purposes: the PET images are used to diagnose/assess tumours, whereas MR images provide the anatomical context. The two modalities are therefore complementary, and both are clinically useful. All previous approaches to motion correcting PET using MR data have, as well as being limited in their effectiveness, required extensive use of MR scanner resources. Effectively, the MR scanner would be used as an expensive motion correction device. As a result none of these techniques are currently in widespread clinical use. Our proposed approach makes use only of images that are routinely acquired for clinical purposes, and would therefore be much more likely to be used clinically.

在全球范围内，癌症是影响人类的最危险，最普遍的疾病之一。每年，约有1400万人被诊断出患有癌症，800万人死于这种疾病。诊断癌症和监测/计划治疗的主要手段之一是使用PET成像。但是，患者运动的问题（例如呼吸引起的问题）严重阻碍了当前的宠物扫描仪的有效性。一种估计呼吸运动的一种方式，以便可以通过使用第二种成像方式来纠正其效果。传统上，宠物成像与CT扫描相结合，因为它在重建宠物图像中有用。但是，CT扫描为患者提供了明显的辐射剂量，并且太慢，无法有效估计呼吸运动。最近，将新一代的PET扫描仪引入了市场，该市场将PET与MR Imaging结合使用。 MR提供了一个高度有希望的信息来源，用于估计呼吸运动。但是，目前缺乏完全利用MR扫描提供的丰富信息的技术。该提案的目的是设计用于从MR和PET成像数据估算呼吸运动的技术，目的是为了纠正PET和MR数据的运动。如果成功，这项研究的结果将是提高PET-MR成像的质量。这将使癌症能够较早诊断，从而可以更有效地治疗。此外，可以更可靠地监测癌症治疗的进度，甚至使治疗更具针对性和有效。我们提出的方法的关键好处是，它不需要改变临床工作流程。通常，用于临床目的进行MR和PET扫描：使用PET图像诊断/评估肿瘤，而MR图像则提供了解剖环境。因此，这两种方式是互补的，两者在临床上都是有用的。使用MR数据纠正PET的所有以前的运动方法都具有广泛使用MR Scanner资源的有效性。有效地，MR扫描仪将用作昂贵的运动校正装置。结果，这些技术目前都没有广泛的临床用途。我们提出的方法仅利用通常用于临床目的的图像，因此更有可能在临床上使用。