Medical imaging applications of next-generation spectroscopic x-ray imaging detectors

下一代光谱X射线成像探测器的医学成像应用

• 批准号: RGPIN-2017-06631
• 负责人: Tanguay, Jesse
• 金额: $ 1.89万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=761812
• 关键词: Medical; imaging; applications; next; generation

MOTIVATION: Medical x-ray imaging has revolutionized modern medicine; greater than 200 million x-ray imaging procedures are performed each year in North America. However, x-ray imaging procedures have been associated with cancer risks, with an estimated 20,000 cancers worldwide per year attributed to radiation exposure from x-ray imaging. There is therefore an urgent need to reduce radiation exposures from x-ray imaging. The efficiency with which x-rays are used to produce an image is limited by x-ray detector technology. Improving the dose efficiency of x-ray detectors is therefore expected to reduce the amount of radiation required for x-ray imaging procedures. Advances in x-ray detector technology have led to spectroscopic x-ray detectors, which are capable of estimating the energy of individual x-ray photons at rates adequate for a wide range of medical imaging procedures. This is an entirely different approach to x-ray detection than that used in clinically-available systems, and may potentiate a new paradigm of low-dose x-ray imaging.RESEARCH PROBLEM: More research is needed to optimize spectroscopic x-ray detectors for specific imaging tasks and to provide evidence-based data on their dose efficiency relative to existing approaches. This is challenging because the development of spectroscopic x-ray detectors preceded a comprehensive analytical framework for optimizing their imaging performance and for comparing optimized spectroscopic methods with conventional x-ray imaging methods. This critical limitation impedes the development and optimization of spectroscopic x-ray systems, which subsequently impairs identification of the spectroscopic systems that have the best potential for successful clinical implementation.OBJECTIVES: This research program will develop analytical tools for quantitative evaluation of the imaging performance of spectroscopic x-ray imaging methods, which will enable: 1) guiding the development of novel spectroscopic systems; 2) establishing performance benchmarks for comparison with experimental results, and; 3) identifying which spectroscopic x-ray systems will improve x-ray image quality while reducing associated risks.IMPACT: Spectroscopic x-ray imaging is the next generation of medical x-ray imaging, enabling advanced medical imaging applications not possible with existing clinical technology. This research program will provide image scientists and medical-imaging-system developers with the analytical tools that are urgently required to identify which spectroscopic x-ray imaging systems, and applications thereof, will improve disease detectability while minimizing associated risks. The results of this research will enable academia and industry to target valuable research resources at designing and testing the spectroscopic systems that have the best potential for successful clinical implementation.

动机：医学 X 射线成像彻底改变了现代医学；北美每年执行超过 2 亿次 X 射线成像程序。然而，X 射线成像程序与癌症风险相关，全球每年估计有 20,000 例癌症是由于 X 射线成像的辐射暴露造成的。因此，迫切需要减少 X 射线成像的辐射暴露。使用 X 射线生成图像的效率受到 X 射线探测器技术的限制。因此，提高 X 射线探测器的剂量效率有望减少 X 射线成像过程所需的辐射量。 X 射线探测器技术的进步催生了光谱 X 射线探测器，它能够以适合各种医学成像程序的速率估计单个 X 射线光子的能量。这是一种与临床可用系统中使用的完全不同的 X 射线检测方法，并且可能会增强低剂量 X 射线成像的新范例。 研究问题：需要更多的研究来优化光谱 X 射线探测器特定成像任务，并提供有关其相对于现有方法的剂量效率的循证数据。这是具有挑战性的，因为光谱 X 射线探测器的开发先于综合分析框架，用于优化其成像性能并将优化的光谱方法与传统 X 射线成像方法进行比较。这一关键限制阻碍了光谱 X 射线系统的开发和优化，从而损害了对最有可能成功临床实施的光谱系统的识别。 目标：该研究计划将开发用于定量评估 X 射线光谱系统成像性能的分析工具。光谱 X 射线成像方法，这将能够：1）指导新型光谱系统的开发； 2）建立与实验结果进行比较的性能基准； 3) 确定哪些光谱 X 射线系统将提高 X 射线图像质量，同时降低相关风险。影响：光谱 X 射线成像是下一代医学 X 射线成像，可实现现有临床技术无法实现的先进医学成像应用。该研究计划将为图像科学家和医学成像系统开发人员提供迫切需要的分析工具，以确定哪些光谱 X 射线成像系统及其应用将提高疾病的可检测性，同时最大限度地降低相关风险。这项研究的结果将使学术界和工业界能够利用宝贵的研究资源来设计和测试最有可能成功临床实施的光谱系统。