A Novel Method of Correcting the Sinogram Data for Postrion Emission Tomography

摘要：

In the problems of statistical reconstruction of PET images, Bayesian reconstruction, or maximum a posteriori (MAP) method, has proved its superiority over others among all the regularization methods. To further improve the reconstruction, this paper presents a novel statistical image reconstruction method based on coupled feedback (CF) iterative model for positron emission tompgraphy (PET). This CF iterative algorithm updates the noisy emission sinogram (the measurements of the detectors) using the latest reconstructed image. The experiments and the performance analysis confirm the virtue of the new method.

作者: Yang Chen Qianjin Feng Wufan Chen Jie Zhan Pengcheng Shi

作者单位: Institute of Medical Information&Technology, School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China

会议类型: 国际会议

会议名称: 2007 IEEE/ICME International Conference on Complex Medical Engineering-CME2007(CME2007 第二届国际复合医学工程学术大会)

会议地点: 北京

会议语种:英文

页码: 1400-1403

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）