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

Quantitation of brain tumor in MRI for treatment planning

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)
Vaidyanathan, M. ; Dept. of Radiol., Univ. of South Florida, Tampa, FL, USA ; Velthuizen, R. ; Clarke, L.P. ; Hall, L.O.

Two different MRI segmentation methods that use multispectral image data are proposed for the estimation of the volume of brain tumors. A supervised k-nearest neighbor (kNN) and a semi-supervised fuzzy c-means (SFCM) pattern recognition methods are used for the image segmentation. The reproducibility of the two methods in determining the volume of different tumors and the change in volume with therapy are estimated. The results are compared with the volume estimates obtained by gray-level based seed-growing method that is being used clinically. The results indicate that kNN and SFCM methods should provide an accurate and reliable image segmentation and tumor volume estimate, as required for treatment planning and surgery simulation

Published in:

Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE

Date of Conference:

3-6 Nov 1994

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.