| 64层锥束CT扫描的优化系统 |
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| 引用本文： | 谢强,Eugene Williams,唐向阳,Brian Grekowicz,Roy Nilsen,Sandeep Dutta,Robert Senzig.64层锥束CT扫描的优化系统[J].CT理论与应用研究,2005,14(4):59-67. |
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| 作者姓名： | 谢强 Eugene Williams 唐向阳 Brian Grekowicz Roy Nilsen Sandeep Dutta Robert Senzig |
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| 作者单位： | GE医疗系统总部CT应用科学实验室,美国,WI 53201;GE Healthcare,Milwaukee,WI53201 |
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| 摘 要： | 近年来X射线断层成像(CT)技术获得了突飞猛进的发展,自1998年推出4层螺旋CT后,CT扫描设备在容积覆盖,空间分辨率,扫描速度,切片数方面取得了长足进展.这不仅给医学应用带来了深远的影响,同时也给CT系统设计提出了巨大的挑战.容积CT(VCT)的设计过程引入了各种策略来战胜其复杂性.这些方法学包括:理论分析,系统性能预测的图像分析工具,各种基于专家背对背评价的参数优化.本文论述了64层CT系统设计中的一些考虑因素及优化过程.这些设计过程保证了锥束CT的优化性能.首批客户的应用反馈显示了我们设计实践的有效率性.
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| 关 键 词： | 锥束CT 多层CT 容积CT 系统性能 性能优化 |
| 文章编号： | 1004-4140（2005）04-0059-09 |
| 收稿时间： | 2005-08-05 |
| 修稿时间： | 2005年8月5日 |
Optimization of System Design for 64-slice Cone Beam Computed Tomography |
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| Jiang Hsieh,Eugene Williams,Charlie Shaughnessy,Xiangyang Tang,Brian Grekowicz,Roy Nilsen,Sandeep Dutta,Robert Senzig.Optimization of System Design for 64-slice Cone Beam Computed Tomography[J].Computerized Tomography Theory and Applications,2005,14(4):59-67. |
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| Authors: | Jiang Hsieh Eugene Williams Charlie Shaughnessy Xiangyang Tang Brian Grekowicz Roy Nilsen Sandeep Dutta Robert Senzig |
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| Institution: | GE Healthcare, Milwaukee, W153201 |
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| Abstract: | The technology for x-ray computed tomography (CT) has experienced tremendous growth in recent years. Since the introduction of 4-slice helical scanners in 1998, rapid improvement has been made on CT scanners in terms of the volume coverage, spatial resolution, scan speed, and the number of slices. These advancements not only significantly impact clinical applications, but also bring huge challenges to the CT system design. Because of the complexity of the volumetric CT (VCT) system, various strategies have to be utilized in the design process. These methodologies include theoretical analysis, computer simulation for system performance prediction, bench-top experiments for analysis confirmation, automated image analysis tools for automatically evaluating image performance, and double-blind tests with human observers for parameter optimization. In this paper, we present some of the system design considerations and optimization processes for a 64-slice scanner. These design processes ensure the optimal performance of the cone beam CT scanner. Initial clinical feedback has demonstrated the effectiveness of our approach. |
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| Keywords: | Cone beam CT multi-slice CT volumetric CT system performance performance optimization |
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