Implementation of an accelerated iterative algorithm for cone-beam SPECT.

Published

Journal Article

In this paper we describe the implementation of an accelerated iterative reconstruction algorithm (AIRA) for cone-beam (CB) projections using a single circular orbit in single-photon-emission computed tomography (SPECT). This algorithm is a modified maximum-likelihood-expectation-maximization (ML-EM) algorithm and several approaches have been used to accelerate the reconstruction process. These approaches include: (i) the use of ordered subsets; (ii) the use of active areas and volumes; and (iii) the storing in memory of the transition vector for a given ray (during the forward projection step). This algorithm, which compensates for collimator geometric sensitivity variation as a function of position and makes uniform attenuation corrections has been evaluated using experimentally acquired phantom data. The results demonstrate a two-orders-of-magnitude decrease of the computational time of this algorithm over the conventional ML-EM algorithm with similar convergence properties.

Full Text

Duke Authors

Cited Authors

  • Li, J; Jaszczak, RJ; Greer, KL; Coleman, RE

Published Date

  • March 1994

Published In

Volume / Issue

  • 39 / 3

Start / End Page

  • 643 - 653

PubMed ID

  • 15551605

Pubmed Central ID

  • 15551605

International Standard Serial Number (ISSN)

  • 0031-9155

Language

  • eng

Conference Location

  • England