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

Extracting kinetic information from dynamic imaging protocols: a Bayesian approach to parametric image analysis

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

4 Author(s)
Spilker, M.E. ; Dept. of Bioeng., Univ. of Washington, Seattle, WA, USA ; Vicini, P. ; Ka-Loh Lie ; Brasch, R.C.

A Bayesian method is proposed to determine regularized parametric images from dynamic imaging protocols. The approach allows to estimate functional parameters from a mathematical model of contrast agent kinetics, and to regularize such estimate using Bayesian approaches. Simulation studies and preliminary analysis of real contrast-enhanced MRI data from mammary tumors in an animal model are encouraging.

Published in:

Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint  (Volume:2 )

Date of Conference:

2002

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.