Filtered backprojection algorithm can outperform iterative maximum likelihood expectation‐maximization algorithm
Gengsheng L. Zeng · 2012 · International Journal of Imaging Systems and Technology
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Abstract The iterative maximum‐likelihood expectation‐maximization (ML‐EM) algorithm is an excellent algorithm for image reconstruction and usually provides better images than the filtered backprojection (FBP) algorithm. However, a…
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Metadata source: Crossref · DOI 10.1002/ima.22011