By Topic

Automatic segmentation of cardiac images: texture mapping

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

3 Author(s)
Fortin, C. ; Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA ; Ohley, W. ; Gewirtz, H.

Image texture is used to segment left ventricular magnetic resonance (MR) images. The approach is built upon assumptions regarding those probability density functions (PDFs) present within the image. Specifically, an algorithm is constructed which assumes that the data are distributed as fractional Brownian motion (FBM). The FBM is parameterized by H, which quantifies the roughness present in the image texture. When the algorithm is applied to MR data, a bimodal histogram results. This allows automatic classification of the data with resulting LV segmentation

Published in:

Bioengineering Conference, 1991., Proceedings of the 1991 IEEE Seventeenth Annual Northeast

Date of Conference:

4-5 Apr 1991