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

Curvelet Domain De-tagging of Tagged Cardiac MR Images

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)
Rajavel, P. ; Dept. of Electr. Eng., Indian Inst. of Technol., Chennai

This paper presents the de-tagging of the cardiac magnetic resonance images (MRI) in the curvelet domain. The second generation discrete curvelet transform captures the directional activities of an image as well as the directional high intensity peak of the magnitude spectrum in their subbands effectively. Hence, the curvelet transform is used to identify the high directional peak corresponds to the tag patterns in the magnitude spectrum and suppress the same using the curvelet coefficients. The de-tag method presented here undergoes three steps in the curvelet domain: (1) since, the fine scale subband of the curvelet decomposition capture the tag lines the fine scale isotropic wavelet subband coefficients are suppressed and at the initial stage. (2) Identifying the subbands which capture the tag patterns using the directional subband coefficients. (3) Filter out the coefficients of the identified subbands. The proposed method show the better results compared to the several existing de-tag methods.

Published in:

Advance Computing Conference, 2009. IACC 2009. IEEE International

Date of Conference:

6-7 March 2009

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.