FLAT PANEL DETECTOR BASED CONE BEAM VOLUME CT

描述(逐字摘自申请者摘要)：该项目的长期目标 项目是开发一种高分辨率的锥束体积CT (CBVCT)成像技术提供临床有用的三维(3D) 胸部肿瘤影像的高分辨率影像。 CBVCT采用锥形波束几何结构和新开发的数字平板 用于快速体积扫描的探测器。它将仅需要单个FAST卷 扫描(2-8.0秒)以提供对肺解剖的真实3D描述 各向同性分辨率为0.7-4.0 lp/mm。 CBVCT代表了CT发展的下一步。快速收购将 消除大多数运动瑕疵。 亚毫米各向同性分辨率应该能发现更多的肺结节， 几乎消除了部分体积平均伪影。CBVCT应考虑到 首次准确确定大小、生长、密度和增强 肺部小结节的特点。这将是一个重大的进步 肿瘤学肺部影像检查。 CBVCT将通过计算机模拟、幻影和 在使用薄膜的原型成像系统上进行的动物研究 晶体管(TFT)平板探测器和锥束层析成像采集 几何图形。具体地说，拟议研究的目的是：1)发展和 基于TFT阵列的CBVCT数据采集技术的计算机验证 仿真，2)锥束重构的开发、实现和优化 算法，3)构建了基于TFT的CBVCT扫描仪原型，4)测试和 通过体模研究优化CBVCT技术，5)评估成像 CBVCT系统的性能通过比较体模研究和 多层螺旋CT。 动物研究将在成功完成这项建议后进行。 研究。

DESCRIPTION (Verbatim from Applicant's Abstract): The long term goal of this project is to develop a high resolution cone beam volume computed tomography (CBVCT) imaging technique to provide clinically useful three-dimensional (3D) high resolution images for thoracic oncologic imaging. CBVCT uses a cone beam geometry and a newly developed digital flat panel detector for fast volume scanning. It will require only a single fast volume scanning (2 - 8.0 seconds) to provide true 3D description of pulmonary anatomy with 0.7 - 4.0 lp/mm isotropic resolution. CBVCT represents the next step in the evolution in CT. Rapid acquisition will eliminate most motion artifacts. Sub-millimeter isotropic resolution should detect more pulmonary nodules, virtually eliminating partial volume average artifacts. CBVCT should allow for the first time accurate determination of size, growth, density, and enhancement characteristics of small pulmonary nodules. This would be a major advance in oncologic pulmonary imaging. CBVCT will be developed and validated through computer simulation, phantom and animal studies performed on a prototype imaging system that uses a thin film transistor (TFT) flat panel detector and cone beam tomographic acquisition geometry. Specifically, the aims of the proposed research are: 1) Develop and validate data acquisition technique for TFT array-based CBVCT through computer simulation, 2) Develop, implement and optimize the cone beam reconstruction algorithms, 3) Construct a TFT-based prototype CBVCT scanner, 4) Test and optimize the CBVCT technique through phantom studies, and 5) Evaluate imaging performance of the CBVCT system through comparison phantom studies with a multi-slice CT. Animal studies will be prepared upon the successful completion of this proposed research.