By Topic

Linear filter design for CNR enhancement of MR images with multiple interfering features

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)
Soltanian-Zadeh, H. ; Dept. of Diagnostic Radiol. & Med. Imaging, Henry Ford Hospital, Detroit, MI, USA ; Windham, J.P.

Maximizing the minimum absolute contrast-to-noise ratios (CNRs) between a desired feature and multiple interfering features, by linear combination of images in an MRI scene sequence, is attractive for medical image analysis and interpretation. Previously, we published a general formulation of the problem and a novel solution utilizing the simple and numerically stable method of Gram-Schmidt orthogonalization. Our approach derives explicit solutions for the general case of multiple interfering features in the scene. Here, we review the theoretical basis for the filter and present its applications to MRI scene sequences of the human brain with cerebral infarction, tumor, or multiple sclerosis. For these applications, a 20% to 100% improvement for the smallest absolute CNR is obtained

Published in:

Nuclear Science Symposium and Medical Imaging Conference Record, 1995., 1995 IEEE  (Volume:3 )

Date of Conference:

21-28 Oct 1995