Implementation of an accelerated iterative algorithm for cone-beam SPECT.
Journal Article (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
International Standard Serial Number (ISSN)
- 0031-9155
Digital Object Identifier (DOI)
- 10.1088/0031-9155/39/3/025
Language
- eng
Conference Location
- England