Block-iterative methods for image reconstruction from projections

The simultaneous MART algorithm (SMART) and the expectation maximization method for likelihood maximization (EMML) are extended to block-iterative versions, BI-SMART and BI-EMML, that converge to a solution in the feasible case, for any choice of subsets. The BI-EMML reduces to the "ordered sub...

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Bibliographic Details
Published in:IEEE transactions on image processing 1996-05, Vol.5 (5), p.792-794
Main Author: Byrne, C.L.
Format: Article
Language:English
Subjects:
Applied sciences
Array signal processing
Charge coupled devices
Exact sciences and technology
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Image edge detection
Image processing
Image reconstruction
Information, signal and communications theory
Log periodic antennas
Signal processing
Signal processing algorithms
Statistics
Telecommunications and information theory
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Summary:The simultaneous MART algorithm (SMART) and the expectation maximization method for likelihood maximization (EMML) are extended to block-iterative versions, BI-SMART and BI-EMML, that converge to a solution in the feasible case, for any choice of subsets. The BI-EMML reduces to the "ordered subset" EMML of Hudson et al. (1992, 1994) when their "subset balanced" property holds.
ISSN:1057-7149
1941-0042
DOI:10.1109/83.499919