A note on stopping rules in EM-ML reconstructions of ECT images. Academic Article

abstract

• The use of the expectation-maximization algorithm to obtain pseudo-maximum likelihood estimates (i.e. the EM-ML algorithm) of radiopharmaceutical distributions based on data collected from emission computed tomography (ECT) systems is now a well developed area, as witnessed by a number of recent articles on that topic, including the detailed study of the relative performance of EM-ML and FBP reconstructions provided in J. Llacer et al. (ibid., vol. 12, p. 215-31, 1993). However, there remains considerable confusion in the field regarding appropriate stopping rules for EM-ML algorithms, and in this correspondence the author attempts to detail a shortcoming of one of the more recent and innovative stopping rule criteria. In particular, the author discusses the effect of total photon counts on stopping criteria based on cross-validation.

authors

• Johnson, Valen

author list (cited authors)

• Johnson, V. E

citation count

• 23

complete list of authors

• Johnson, VE

publication date

• January 1994

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Medical Imaging  Journal

keywords

• Bioengineering

Digital Object Identifier (DOI)

• 10.1109/42.310891

start page

• 569

end page

• 571

volume

• 13

issue

• 3

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2F42.310891