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

MRI Reconstruction Using SVD in the Least Square Sense

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)
Yaacoub, F. ; Dept. of Electr. Eng., Univ. of Balamand, Tripoli ; Abche, A. ; Karam, E. ; Hamam, Y.

Magnetic resonance imaging is a very powerful tool for imaging structures or organs of the human body in a non-invasive manner. Having collected the raw data and discretized in the k-space, Fourier methods are the natural choice to reconstruct the MRI images. In this paper, a technique to reconstruct MRI images is presented. It does not perform the inverse Fourier transform directly on the k-space images. It is based on the SVD decomposition in the least square sense. This approach is compared with other existing approaches using different criteria such as the root mean square and the performance test. The results show that the proposed approach is much better.

Published in:

Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on

Date of Conference:

17-19 June 2008

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.