Referenced Items are not available for this document.
In this paper, we propose a new approach that we call the ldquofluid vector flowrdquo (FVF) active contour model to address problems of insufficient capture range and poor convergence for concavities. With the ability to capture a large range and extract concave shapes, FVF demonstrates improvements over techniques like gradient vector flow, boundary vector flow, and magnetostatic active contour on three sets of experiments: synthetic images, pediatric head MRI images, and brain tumor MRI images from the Internet brain segmentation repository.
Published in:
Biomedical Engineering, IEEE Transactions on
(Volume:56
,
Issue:
3
)
Date of Publication: March 2009
- Page(s):
- 781 - 789
- ISSN :
- 0018-9294
- INSPEC Accession Number:
- 10587545
- Digital Object Identifier :
- 10.1109/TBME.2009.2012423
- Product Type:
- Journals & Magazines
- Date of Publication :
- 23 January 2009
- Date of Current Version :
- 21 April 2009
- Issue Date :
- March 2009
- Sponsored by :
- IEEE Engineering in Medicine and Biology Society
- PubMed ID :
- 19174335
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 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
