By Topic

MRSI data reconstruction with Generalized 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

2 Author(s)
Yufang Bao ; Dept. of Radiol., Miami Univ., FL ; Maudsley, A.A.

The Generalized SENSE algorithm has previously been proposed to reconstruct high-resolution MRI data obtained using incomplete spatial sampling with multi-channel detection. In this report a modification of this algorithm is presented and applied to magnetic resonance spectroscopic imaging (MRSI) data. It is shown that this reconstruction method enables a decrease in data acquisition time to be obtained with minimal impact on image quality

Published in:

Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on

Date of Conference:

6-9 April 2006