Jump to content

Ordered subset expectation maximization

From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by Melcombe (talk | contribs) at 13:29, 20 July 2010 (revise cats). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

Ordered subset expectation maximization (OSEM) is an expectation maximization (EM) algorithm widely used in medical imaging for positron emission tomography, single photon emission computed tomography and less frequently for X-ray computed tomography.

It improves upon the speed of previous EM techniques and improves upon the quality of previous FBP (filtered back projection) techniques.

References

Hudson, H.M., Larkin, R.S. (1994) "Accelerated image reconstruction using ordered subsets of projection data", IEEE Trans. Medical Imaging, 13 (4), 601–609 doi:10.1109/42.363108