| 基于压缩感知的双能CT不完备数据重建算法优化研究 |
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| 引用本文： | 刘圆圆,程建平,郑鹏,毕文元,陈志强.基于压缩感知的双能CT不完备数据重建算法优化研究[J].中国体视学与图像分析,2013(3):238-243. |
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| 作者姓名： | 刘圆圆 程建平 郑鹏 毕文元 陈志强 |
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| 作者单位： | [1]清华大学工程物理系,北京100084 [2]粒子技术与辐射成像教育部重点实验室（清华大学）,北京100084 [3]环境保护部核与辐射安全中心,北京100082 [4]中国核科技信息与经济研究院,北京100048 |
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| 基金项目： | 国家自然科学基金青年科学基金（1l305073） |
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| 摘 要： | 本文针对基于压缩感知理论的双能CT不完备数据重建算法，分别提出了提高重建质量和缩短重建用时的优化方案。一方面，可以通过改进迭代过程中步长和角度的选取提高重建质量；另一方面，可以通过采用GPU技术进一步提高重建速度。初步实验结果表明，不同步长和角度的选取将直接影响重建图像质量，使用GPU技术后的重建算法可将完整重建一次的耗时从数十分钟缩短至几秒钟。因此，如能改善这两个优化方向，基于压缩感知理论的双能CT不完备数据重建算法的重建性能将进一步得到提升。
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| 关 键 词： | 压缩感知 双能CT 不完备数据 图像重建 优化 |
Improvement of DECT reconstruction algorithm from incomplete data based on compressed sensing |
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| LIU Yuanyuan,CHENG Jianping,ZHENG Peng,BI Wenyuan,CHEN Zhiqiang.Improvement of DECT reconstruction algorithm from incomplete data based on compressed sensing[J].Chinese Journal of Stereology and Image Analysis,2013(3):238-243. |
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| Authors: | LIU Yuanyuan CHENG Jianping ZHENG Peng BI Wenyuan CHEN Zhiqiang |
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| Institution: | Department of Engi 2. Key Laboratory of Particle ＆ Radiation neering Physics, Tsinghua Imaging of Ministry of Ed University, Beijing 100084, China; ( Ts 3. Nuclear and Radiation Safety Center, Ministry of Environmental Protect inghua University) , B ion of China, Beijing eijing 100084, China ; 100082 4. China Nuclear Scientific and Technical Infornmtion and Economy Research Institute, Beijing 100048, China) |
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| Abstract: | Aiming at dual energy CT reeoustruction algorithm from incomplete data based on compressed sensing theory, this paper put fro＇ward improvement proposals of reeonstructiou quality and time saving We can improve the reconstruction quality by using changing the steps and angles. Moreover, the reconstruction time can be reduced with GPU technology. The preliminary results demonstrate that choosing different steps and angles can greatly affect the reconstruction quality, and at the same time, the reconstruction time can be reduced from dozens of minutes to a few seconds by using GPU technology. Hence,if we can optimize these two points, a more robust dual energy CT reconstruction algorithm from incomplete data based on compressed sensing will be obtained. |
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| Keywords: | compressed sensing DECT incomplete data image reconstruction improvement |
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