By Topic

Noise analysis of regularized EM for SPECT reconstruction

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Wenli Wang ; Dept. of Electr. Eng. & Radiol., State Univ. of New York, Stony Brook, NY, USA ; G. Gindi

The ability to theoretically model the propagation of photon noise through tomographic reconstruction algorithms is crucial in evaluating reconstructed image quality as a function of parameters of the algorithm. Here, the authors show the theoretical expressions for the propagation of Poisson noise through tomographic SPECT reconstructions using regularized EM algorithms with independent Gamma and multivariate Gaussian priors. The authors' analysis extends the work in H.H. Barrett et al., Phys. Med. Biol., vol. 39, p. 833-46 (1994), in which judicious linearizations were used to enable the propagation of a mean image and covariance matrix from one iteration to the next for the (unregularized) EM algorithm. To validate their theoretical analyses, the authors use a methodology in D.W. Wilson et al., Phys. Med. Biol., vol. 39, p. 847-71 (1994) to compare the results of theoretical calculations to Monte Carlo simulations. The authors also demonstrate an application of the theory to the calculation of an optimal smoothing parameter for a regularized reconstruction. The smoothing parameter is optimal in the context of a quantitation task, defined as the minimization of the expected mean-square error of an estimated number of counts in a hot lesion region. The authors' results thus demonstrate how the theory can be applied to a problem of potential practical use

Published in:

Nuclear Science Symposium, 1996. Conference Record., 1996 IEEE  (Volume:3 )

Date of Conference:

2-9 Nov 1996