Task-oriented optimization of high-performance positron emission tomography

高性能正电子发射断层扫描的面向任务的优化

• 批准号: 387067-2010
• 负责人: Reader, Andrew
• 金额: $ 1.97万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=550597
• 关键词: Task; oriented; optimization; performance; positron

Positron Emission Tomography (PET) allows the inside of objects to be investigated, be it the human brain for medical research or the inside of a mixing vessel for industrial processes. The objective of this research program is to advance the computational algorithms and methods used for imaging these processes. At present, the way the raw data are processed, reconstructed and analyzed does not pay full attention to the reason why the PET scan is being done. This leads to poor image quality and unnecessarily high noise. This program of research will radically change the way the processing is performed, to always keep in mind: i) the reason for doing the scan, ii) how to draw the best out of the limited noisy data, and iii) exploitation of other sources of information (e.g. images from other modalities). By accounting for these factors much improved image quality will be possible, permitting the full potential of any given PET scanner to be realized. The top priority for brain imaging will be more accurate measurements of brain function, whereas for industrial process imaging it will be enhanced resolution imaging of mixing or reaction dynamics. Ideally all algorithms will be fully integrated into a single unit to ensure optimal use of raw PET data and accurate noise modeling at every stage, achieving the highest performance for the task in hand with the available data. A further pivotal component to this research program will be robust, advanced validation and quality assurance for novel PET scanners, which will be vigorously pursued in order to underpin all of the image quality improvements.

正电子发射断层扫描（PET）允许研究物体的内部，无论是用于医学研究的人脑还是用于工业过程的混合容器内部。这项研究计划的目的是推进用于成像这些过程的计算算法和方法。目前，处理、重建和分析原始数据的方法没有充分考虑PET扫描的原因。这导致图像质量差和不必要的高噪声。这项研究计划将从根本上改变处理的方式，始终牢记：i）进行扫描的原因，ii）如何从有限的噪声数据中获得最佳效果，iii）利用其他信息源（例如来自其他模态的图像）。通过考虑这些因素，可以大大提高图像质量，从而实现任何给定PET扫描仪的全部潜力。脑成像的首要任务将是更准确地测量脑功能，而工业过程成像将是混合或反应动力学的增强分辨率成像。理想情况下，所有算法都将完全集成到一个单元中，以确保在每个阶段优化使用原始PET数据和准确的噪声建模，从而利用可用数据实现手头任务的最高性能。这项研究计划的另一个关键组成部分将是新型PET扫描仪的强大，先进的验证和质量保证，这将是大力追求，以支持所有的图像质量改进。