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An accelerated multiplicative iterative algorithm in image reconstruction
DOI:10.1002/ima.10016.png)
摘要
En 中文
Based on the ML-EM (maximum likelihood expectation maximization) algorithm and AWLS (one kind of multiplicative weighted least square) reconstruction, a new algorithm named RMITC (rapid multiplicative iteration with total-count conservation) is proposed. The new method assumes a higher order correction factor and incorporates a total-count conservation constraint to obtain better images reconstructed while achieving a higher speed of convergence. Computer simulated phantom data and real positron emission tomography (PET) transmission data were used to compare the new method with other reconstruction algorithms, such as ML-EM and AWLS. Results demonstrated that the new method is faster and better quantitatively than both ML-EM and AWLS. (C) 2002 Wiley Periodicals, Inc.
Keyword:
LEAST-SQUARES
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