Image Reconstruction Using an Improved MAP-EM Method in X-ray CT
An improved MAP-EM algorithm is proposed for Bayesian reconstruction in X-ray CT based upon Markov random field priors and the Poisson data model. The improved algorithm can yield better reconstruction than MAP-EM algorithm, and its convergence is faster. The improved method is verified by applications to computer simulation data and real X-ray CT data from two aluminous tubes scans. Experiments results show this method is effective. Reconstructed slice images of the improved algorithm are accurate and clear.
MAP-EM Bayesian theorem X-ray CT Image reconstruction
Baoyu Dong
School of Electric and Information Engineering Dalian Jiaotong University Dalian,China
国际会议
长沙
英文
483-486
2009-04-11（万方平台首次上网日期，不代表论文的发表时间）