Cart (Loading....) | Create Account
Close category search window
 

Penalised least squares image reconstruction from backprojection space for 3D PET

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
$31 $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

1 Author(s)
Reader, A.J. ; Dept. of Instrum. & Anal. Sci., Manchester Univ., UK

Image reconstruction directly from backprojected images has two advantages over projection-data based reconstruction for 3D PET: (i) 3D backprojected images offer data compression compared to large 4D projection data sets and (ii) full spatial sampling accuracy of the scanner is retained (unlike with projection-data mashing). This second advantage can be useful for scanners with large numbers of possible lines of response (LORs), as a backprojected image preserves the positional accuracy of the LORs (which can otherwise be compromised by binning into projections). This work presents an algorithm for penalised least squares (PLS) reconstruction directly from 3D backprojected images. All the data can be used, and the shift-variant 3D point response function of the scanner can be accounted for. The proposed algorithm was compared with the ISRA and BPF reconstruction algorithms, and was found to converge significantly more quickly than ISRA and to offer some improvements in noise-contrast behaviour in cold regions when compared to BPF. However, with current computational limitations, the algorithm can only practically be applied to images up to a maximum size of 64×64×64 voxels

Published in:

Nuclear Science, IEEE Transactions on  (Volume:47 ,  Issue: 3 )

Date of Publication:

Jun 2000

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.