Advanced Strategies for Image Quality Improvement and Dose Reduction in CT

提高 CT 图像质量和减少剂量的先进策略

• 批准号: RGPIN-2014-05017
• 负责人: Jaffray, David
• 金额: $ 2.62万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=654433
• 关键词: Advanced; Strategies; Image; Quality; Improvement

X-ray computed tomography (CT) has proven to be a critical and highly valued tool in the advancement of human health. These systems are employed in every facet of medicine from screening for cancer, to assessing injuries, and most recently guiding treatments such as radiation therapy and surgery for cancer. Existing CT technology is not fully utilizing the capabilities of the underlying physics to maximize image quality (e.g. contrast-to-noise) and minimize the radiation dose to the patient. The proposed program of research builds upon 20+ years of experience in X-ray imaging methods and system development to develop next-generation CT methods that leverage advances in computational horsepower, mechatronics, and nanotechnology to bring a safer, higher performing level of CT imaging to medicine. **The program of research focuses on two major topics (i) correcting unwanted X-ray scatter signal in the detector, and (ii) the development of a novel fluence-field modulated CT (FFMCT) method. **Scattered X-rays reaching the detector have a significant negative impact on image quality and this is exacerbated in cone beam CT (CBCT) due to the volume of tissue irradiated and lack of a rejection method. Accurate modeling of the physics underlying scatter with Monte Carlo (MC) simulations allows us to better understand and correct for scatter, leading to improved images and patient dose management. At present, MC simulations are computationally intensive and time-consuming. This project will develop more efficient computational methods for MC-based scatter correction, leading to correction methods that can be applied in real-time in real-world clinical settings to compensate for spurious signal and improve image quality. **FFMCT was developed in my laboratory and has the potential to transform CT technology by changing the operation of the CT scanner depending on the details of the imaging task. It involves dynamically adjusting the X-ray fluence pattern during image acquisition so that the image quality and radiation dose are adjusted for specific regions-of-interest. FFMCT is able to account for known X-ray densities in the object, such as the high density of bone, and reduce dose to sensitive tissues not of interest (e.g. breast tissue in lung screening)-and as a result should improve existing CT image quality. The hybrid approach of using FFMCT and high-speed MC methods will allow alternative CT geometries to be explored, including the use of programmable multisource X-ray emitting arrays for imaging.

X射线计算机层析成像(CT)已被证明是促进人类健康的一种重要和高度有价值的工具。这些系统被应用于医学的方方面面，从癌症筛查到损伤评估，以及最近的指导治疗，如癌症的放射治疗和手术。现有的CT技术没有充分利用底层物理的能力来最大限度地提高图像质量(例如对比度和噪声)，并将对患者的辐射剂量降至最低。拟议的研究计划建立在20多年的X射线成像方法和系统开发经验的基础上，以开发下一代CT方法，利用计算马力、机电一体化和纳米技术的进步，为医学带来更安全、更高性能的CT成像水平。**研究计划集中在两个主要主题上(I)校正探测器中不需要的X射线散射信号，和(Ii)开发一种新型的通量场调制CT(FFMCT)方法。**到达探测器的散射X射线对图像质量有很大的负面影响，由于照射的组织体积和缺乏排斥方法，这在锥形束CT(CBCT)中加剧。使用蒙特卡罗(MC)模拟对散射背后的物理模型进行精确建模，使我们能够更好地理解和纠正散射，从而改进图像和患者剂量管理。目前，MC仿真计算量大、耗时长。该项目将开发更高效的基于MC的散射校正的计算方法，从而导致可以在现实世界的临床环境中实时应用的校正方法，以补偿虚假信号并提高图像质量。**FFMCT是在我的实验室开发的，它有可能通过根据成像任务的细节改变CT扫描仪的操作来改变CT技术。它涉及在图像采集期间动态调整X射线通量模式，以便针对特定感兴趣区域调整图像质量和辐射剂量。FFMCT能够解释对象中已知的X射线密度，例如高密度骨，并减少对不感兴趣的敏感组织(例如肺部筛查中的乳腺组织)的剂量-因此应该可以改善现有的CT图像质量。使用FFMCT和高速MC方法的混合方法将允许探索不同的CT几何结构，包括使用可编程的多源X射线发射阵列进行成像。