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Image Reconstruction Using an Improved MAP-EM Method in X-ray CT

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1 Author(s)
Baoyu Dong ; Sch. of Electr. & Inf. Eng., Dalian Jiaotong Univ., Dalian, China

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.

Published in:

Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on  (Volume:1 )

Date of Conference:

11-12 April 2009