In application of tomography imaging, limited-angle problem is a quite practical and important issue.
In this paper, an iterative reprojection-reconstruction (IRR) algorithm using a modified Papoulis-Gerchberg (PG)
iterative scheme is developed for reconstruction from limited-angle projections which contain noise. The proposed
algorithm has two iterative update processes, one is the extrapolation of unknown data, and the other is the
modification of the known noisy observation data. And the algorithm introduces scaling factors to control the two
processes, respectively. The convergence of the algorithm is guaranteed, and the method of choosing the scaling
factors is given with energy constraints. The simulation result demonstrates our conclusions and indicates that
the algorithm proposed in this paper can obviously improve the reconstruction quality.
SUN Yu-li (孙玉立), TAO Jin-xu* (陶进绪), CHEN Hao (陈浩), LIU Cong-gui (刘从桂)
. An Iterative Algorithm for Computed Tomography Image Reconstruction from Limited-Angle Projections[J]. Journal of Shanghai Jiaotong University(Science), 2015
, 20(2)
: 202
-208
.
DOI: 10.1007/s12204-015-1608-9
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