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

Application of reconstruction-based scatter compensation to Tl-201 SPECT

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

3 Author(s)
Kadrmas, D.J. ; North Carolina Univ., Chapel Hill, NC, USA ; Frey, E.C. ; Tsui, B.M.W.

Scatter compensation in Tl-201 SPECT presents an interesting challenge because of the multiple emission energies and relatively large proportion of scattered photons. Reconstruction-based scatter compensation (RBSC), in which the scatter response function is modeled during the reconstruction, can improve quantitative accuracy and contrast while maintaining or even reducing image noise levels. In this work we investigate methods of applying RBSC to Tl-201 SPECT and study the noise levels resulting from each method. We have applied RBSC to a simulated phantom experiment using a variety of single and multiple energy window schemes. The RBSC methods were also compared with other methods of handling scatter. Singular value decomposition (SVD) of the system transfer matrix was used to analyze the noise levels of each method in a regularization-independent manner. Results indicate that inclusion of higher energy gamma peak data leads to reduced noise over using only X-ray emission data. In addition, using a different window for each emission energy gives better performance than acquiring into a single wide energy window. Non-photopeak window data can also be included to reduce image noise. These results are supported by analysis of iteratively reconstructed MLEM images

Published in:

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

Date of Conference:

2-9 Nov 1996

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.