Cone-Beam Tomography with Truncated Projections

截断投影的锥束断层扫描

• 批准号: 6778871
• 负责人: ROLF CLACKDOYLE
• 金额: $ 26.91万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-05-15 至 2007-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6778871
• 关键词: bioimaging /biomedical imaging; biomedical automation; computed axial tomography; computer program /software; computer system design /evaluation; high throughput technology; image enhancement; mathematical model; mathematics; model design /development; phantom model; technology /technique development

DESCRIPTION (provided by applicant): The long term objective of this project is to solve the truncation problem in cone-beam tomography, and to implement and freely distribute image reconstruction software suitable for the most common cone-beam imaging configurations. The specific aims are: 1) to devise, implement, and make publicly available, fast accurate image reconstruction code for cone-beam computed tomography (CBCT) geometries where the source and detector rotate once (or slightly more than once) about the patient, and the projections are always truncated axially (and may also be truncated transaxially), 2) to devise, implement, and make publicly available, fast accurate image reconstruction code for CBCT geometries tailored to C-arm based CT with projections measured over an angular range of about 180 degrees, and with relevant patterns of truncation, and 3) to design and implement simple practical calibration methods from which geometric reconstruction parameters are automatically obtained and passed to the reconstruction algorithms for the scanner configurations of aims 1 and 2. The methods involve devising algorithms that are impervious to the propagation of false information that is normally concomitant with truncated projection data. Six cone-beam configurations will be considered, and algorithms will be devised by assembling fundamental mathematical tools which have been successful in solving certain specific cone-beam truncation problems in the past. The algorithms will be tested with computer simulated data and phantom measurements from benchtop and physical scanners. Automated calibration will be devised by extending existing analytic approaches, and tested against chi-squared approaches using simulated and real data. The health benefits of this project relate to the transition of cone-beam tomography from its current status as primarily a high-contrast imaging tool to a fast, quantitative, volume imaging modality with widespread applications in image guidance and diagnosis.

描述（由申请人提供）： 该项目的长期目标是解决锥形束断层扫描中的截断问题，并实现和自由分发适合最常见锥形束成像配置的图像重建软件。 具体目标是：1) 设计、实施并公开提供用于锥束计算机断层扫描 (CBCT) 几何结构的快速、准确的图像重建代码，其中源和探测器围绕患者旋转一次（或稍多于一次），并且投影始终被轴向截断（也可能被横轴截断），2) 设计、实施并公开提供针对 C 形臂定制的 CBCT 几何形状的快速准确的图像重建代码基于 CT，在约 180 度的角度范围内测量投影，并具有相关的截断模式，以及 3) 设计和实现简单实用的校准方法，从中自动获取几何重建参数并将其传递给扫描仪配置的重建算法目标 1 和 2。 这些方法涉及设计不受通常伴随截断投影数据的错误信息传播影响的算法。将考虑六种锥形束配置，并通过组合基本数学工具来设计算法，这些工具过去已成功解决某些特定的锥形束截断问题。这些算法将使用计算机模拟数据以及台式和物理扫描仪的模型测量进行测试。自动校准将通过扩展现有的分析方法来设计，并使用模拟和真实数据对卡方方法进行测试。 该项目对健康的益处与锥束断层扫描从目前主要作为高对比度成像工具的状态转变为快速、定量、体积成像方式并在图像引导和诊断中广泛应用有关。