Noise characterization of block-iterative reconstruction algorithms: II. Monte Carlo simulations.

Abstract:

:In Soares et al. (2000), the ensemble statistical properties of the rescaled block-iterative expectation-maximization (RBI-EM) reconstruction algorithm and rescaled block-iterative simultaneous multiplicative algebraic reconstruction technique (RBI-SMART) were derived. Included in this analysis were the special cases of RBI-EM, maximum-likelihood EM (ML-EM) and ordered-subset EM (OS-EM), and the special case of RBI-SMART, SMART. Explicit expressions were found for the ensemble mean, covariance matrix, and probability density function of RBI reconstructed images, as a function of iteration number. The theoretical formulations relied on one approximation, namely that the noise in the reconstructed image was small compared to the mean image. In this paper, we evaluate the predictions of the theory by using Monte Carlo methods to calculate the sample statistical properties of each algorithm and then compare the results with the theoretical formulations. In addition, the validity of the approximation will be justified.

journal_name

IEEE Trans Med Imaging

authors

Soares EJ,Glick SJ,Hoppin JW

doi

10.1109/tmi.2004.836876

subject

Has Abstract

pub_date

2005-01-01 00:00:00

pages

112-21

issue

1

eissn

0278-0062

issn

1558-254X

journal_volume

24

pub_type

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