FLAT PANEL DETECTOR BASED CONE BEAM VOLUME CT

描述（来自申请人摘要的逐字）：本发明的长期目标是： 项目是开发一种高分辨率锥形束体积计算机断层扫描 （CBVCT）成像技术，以提供临床有用的三维（3D） 用于胸部肿瘤成像的高分辨率图像。 CBVCT采用锥形束几何结构和新开发的数字平板 快速体积扫描的探测器。它只需要一个快速卷 扫描（2 - 8.0秒），以提供肺部解剖结构的真实3D描述 具有0.7 - 4.0 lp/mm的各向同性分辨率。 CBVCT代表了CT发展的下一步。快速收购将 消除大多数运动伪影。 亚毫米的各向同性分辨率应该能检测到更多的肺结节， 实际上消除了部分体积平均伪影。CBVCT应允许 第一次准确测定大小、生长、密度和增强 肺小结节的特征。这将是一个重大的进步， 肿瘤肺部成像。 CBVCT将通过计算机模拟、体模和 在使用薄膜的原型成像系统上进行的动物研究 晶体管（TFT）平板探测器和锥形束层析成像采集 几何具体而言，拟议研究的目标是：1）开发和 TFT阵列CBVCT数据采集技术计算机验证 2）开发、实施和优化锥形束重建 算法，3）构建基于TFT的原型CBVCT扫描仪，4）测试和 通过体模研究优化CBVCT技术，以及5）评价成像 CBVCT系统的性能，通过比较体模研究与 多层螺旋CT 动物研究将在成功完成本拟定研究后进行。 research.

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.