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In addition to the iterative algorithm described above, a statisticalmodel-based iterative algorithm was developed for X-ray CT (31). In this case, X-ray CT with low photon counts is viewed as an estimation problem, and it is solved in the maximum likelihood (ML) sense (31). ART-type iterative algorithms are also valuable (54). Theoretical and practical issues with itera- tive CT algorithms include regularization and acceleration (55–57). Progress in hardware will broaden horizons of CT applications.