Improving quantitative accuracy and tissue visualization in CBCT guided radiation therapy

提高 CBCT 引导放射治疗的定量准确性和组织可视化

• 批准号: 10264142
• 负责人: Cem Altunbas
• 金额: $ 37.06万
• 依托单位: UNIVERSITY OF COLORADO DENVER
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-15 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10264142
• 关键词: Address; Affect; Algorithms; Anatomy; Architecture; Area; Belgium; Cancer Patient; Clinical; Clinical Trials; Colorado; Data; Development; Devices; Disease; Dose; Evaluation; Florida; Geometry; Gold; Health; Image; Image-Guided Surgery; Institutes; Intervention; Interventional radiology; Investigational Therapies; Ions; Limb structure; Manufacturer Name; Measures; Methods; Modality; Modification; Monitor; Noise; Normal tissue morphology; Orthopedics; Patients; Performance; Photons; Play; Prediction of Response to Therapy; Radiation Dose Unit; Radiation Monitoring; Radiation Scattering; Radiation therapy; Regimen; Reporting; Role; Scanning; Site; Software Tools; Spiral Computed Tomography; Structure; System; Technology; Testing; Texture; Tissues; Toxic effect; Treatment Protocols; Treatment-related toxicity; Tumor Tissue; Universities; Variant; Visualization; Work; base; clinical decision-making; computerized data processing; cone-beam computed tomography; design; experimental study; image guided; image registration; improved; individualized medicine; maxillofacial; medical schools; novel; patient population; prevent; prospective; proton therapy; prototype; radiation response; radiomics; soft tissue; tool; transmission process; tumor; two-dimensional

PROJECT SUMMARY Even though cone beam computed tomography (CBCT) is the most commonly used volumetric image guidance modality, its role has been severely limited in the context of treatment monitoring and patient-specific treatment modifications in radiation therapy. Due to CBCT’s poor image quality, clinicians cannot clearly visualize soft tissues to assess anatomical changes, thus affecting their clinical decision-making. Moreover, tools for treatment monitoring, such as deformable registration and dose calculation, do not function robustly with today’s CBCT images due to the lack of CT number accuracy. Scattered radiation remains to be the fundamental problem in improving CBCT image quality. Thus, in this project, we propose the two-dimensional antiscatter grid (2D Grid) as a novel device to address the scatter problem and achieve high-quality CBCT images that are suitable for treatment monitoring. Our device has fundamentally different architecture and fabrication than existing antiscatter grids for CBCT. Due to its optimized grid structure, our 2D Grid provides both higher primary transmission and better scatter rejection performance than today’s state-of-the-art antiscatter grids. Due to its favorable primary transmission and scatter rejection performance, our 2D Grid improves the contrast-to-noise ratio and CT number accuracy to levels not achievable with existing antiscatter grids. We hypothesize that our 2D Grid will provide significantly better soft tissue visualization and CT number accuracy, and deformable registration algorithms are expected to perform significantly better. To test our hypotheses, we will develop and optimize data processing methods for 2D Grid implementation in CBCT (Aim 1). Subsequently, we will fabricate 2D Grid prototypes and evaluate their performance in clinical CBCT systems for photon and proton therapy (Aim 2). Following phantom based evaluations, we will conduct a prospective clinical trial to evaluate the clinical utility of improved image quality (Aim 3). We will perform observer studies to quantify the improvement in soft tissue visualization with respect to existing clinical CBCT and gold-standard Helical CT, assess the improvement in accuracy of deformable image registration algorithms, and evaluate the improvement in consistency of image intensity and texture features. While our application is focused on radiation therapy, the 2D Grid can play a key role in other CBCT applications, such as interventional radiology, extremity imaging, and intraoperative imaging. Due to its improved low-contrast visualization performance, our 2D Grid may also allow reduction of the imaging dose in CBCT.

项目摘要 甚至坚硬的锥束计算层析成像（CBCT）也是最常用的体积图像 指导方式，其作用在治疗监测和特定于患者的情况下受到了严格的限制 放射治疗中的治疗修饰。 可视化软组织以评估解剖学变化，从而深情他们的临床决策。 用于治疗监测的工具，例如可变形的注册和剂量计算，无法牢固发挥 由于缺乏CT数量的精度，因此由于今天的CBCT图像。 散射辐射仍然是改善CBCT图像质量的基本问题 这个项目，我们提出了二维抗议者网格（2D网格）作为解决散布的新设备 问题并实现适合治疗监测的高质量CBCT图像 与现有的CBCT的现有抗议室网格的结构和制造根本不同。 优化的网格结构，我们的2D网格既可以提供更高的一级传输和更好的散射排斥 性能比当今的最先进的Alsocater网格。 分散拒绝性能，我们的2D网格提高了对比度比率和CT数量的准确性 现有的抗探望者网格无法达到的水平。 我们假设我们的2D网格将提供更好的软组织可视化和CT数字 准确性和可变形的注册算法预计会表现出色 假设，我们将开发并优化CBCT中2D网格imentitation的数据处理方法（AIM 1）。 光子和质子治疗的系统（AIM 2）。 预期的临床试验评估了改善图像质量的临床实用性（AIM 3） 观察者的研究量化了相对于现有临床CBCT的软组织可视化的改善 和金色标准的螺旋CT，评估可变形图像注册的不体 算法，并评估合并强度和纹理特征的改进。 尽管我们的应用集中在放射治疗上，但2D网格可以在其他CBCT中发挥关键作用 应用，例如介入放射学，肢体成像和术中成像。 改进的低对比度可视化性能，我们的2D网格也可能会允许允许允许允许减少成像剂量 CBCT。