期刊文献+

迭代图像重建中系统矩阵与重建图像质量关系研究 被引量:3

Study on relationship between system matrix and reconstructed image quality in iterative image reconstruction
下载PDF
导出
摘要 针对现有系统矩阵算法复杂、效率低的问题,提出了一种简易的线段加权算法。对比传统线段加权算法,所提算法大大减少了对直线与网格相交情况的判断,使用二维方式对网格进行编号,并且基于提出的算法对传统线段加权法计算系统矩阵过程进行了改进。采用改进方法计算的系统矩阵重建图像,并且对重建图像质量进行评价。实验结果表明,所提算法的运算速度比Siddon改进算法提高了3倍以上,并且重建图像的质量随着线段加权法中计算线段数目增加而逐步提高。 In view of complicated and inefficient calculation of system matrix, a simple length weighted algorithm was proposed. Compared with the traditional length weighted algorithm, the proposed algorithm reduced situations of the intercepted photon rays with the grid and the grid index of the proposed approach was determined in the two-dimensional coordinate. The computational process of the system matrix was improved based on the proposed algorithm. The image reconstructed with the system matrix was constructed through the new process, and the quality of the reconstructed image was assessed. The experimental results show that the operation speed of the proposed algorithm is more than three times faster than Siddon improved algorithm, and the more lengths in the length weighted algorithm get considered, the better quality of the reconstructed image has.
出处 《计算机应用》 CSCD 北大核心 2013年第1期53-56,68,共5页 journal of Computer Applications
基金 留学回国人员科研启动基金资助项目(2010-1561) 云南省教育厅科学研究基金资助项目(2012J090)
关键词 系统矩阵 投影系数 线段加权 Siddon改进算法 图像质量评价 system matrix projection coefficient length weighted Siddon improved algorithm image quality assessment
  • 相关文献

参考文献12

二级参考文献60

共引文献41

同被引文献30

  • 1吴大瑞,何钦铭.一种简单的基于固定网格的空间直线索引算法[J].江南大学学报(自然科学版),2005,4(4):394-396. 被引量:2
  • 2王亮,寿永熙,秦俊平.图像重建迭代算法的研究[J].黑龙江科技信息,2007(11S):72-72. 被引量:4
  • 3LAMARE F, CARBAYO M J L,KONTAXAKIS G, el al.Incorporation of elastic transformations in list-mode based re-construction for respiratory motion correction in PET [C]//Nuclear Science Symposium Conference Record. Puerto Rico:2005: 3-5.
  • 4CHAMHERLAND M, WASSENAAR R, SPENCER B, etal. Performance evaluation of real-time motion tracking usingpositron emission fiducial markers [J]. Med Phys. 2011,38(2):810-819.
  • 5UU C, ALESSIO A M, KINAHAN P K. Respiratory mo-tion correction for quantitative PET/CT using all detected o-vents with internal-external motion correlation [J]. MedPhys, 2011, 38(5): 2715-2723.
  • 6QIAO F, PAN T,CLARK JR J W, et al. A motion-incorp>o-ratcd reconstruction method for gatedstudies [J]. PhysMed Biol, 2006,51(15) : 3769-3783.
  • 7FIN L, BAILLY P, DAOUK J, et al. Motion correctionbased on an appropriate system matrix for statistical recon-struction of respiratory-correlated PE丁 acquisitions [J],Compul Methods Programs Biomed, 2009,96(3) : el-e9.
  • 8WANG J,LU K, WANG Q,et al. Kernel optimization forblind motion deblurring with image edge prior [J]. Mathe-matical Problems in Engineering, 2012, 2012: 1-10.
  • 9XU Q,YUAN K,YE D. Respiratory motion blur identifica-tion and reduction in ungated thoracic PET imaging [J]. PhysMed Biol, 2011, 56(14): 4481-4498.
  • 10XU Q, X1E K, YUAN K,et al. A statistical study of thefactors influencing the extent of respiratory motion blur inPET imaging [J]. Comput Biol Med, 2012,42(1) : 8-18.

引证文献3

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部