Skip to main content
Article thumbnail
Location of Repository

Three Interactive Graph-Based Segmentation Methods Applied to Cardiovascular Imaging

By Leo Grady, Yiyong Sun and James Williams

Abstract

ABSTRACT We examine the use of three techniques, graph cuts, isoperimetric minimization and random-walk partitioning for the interactive segmentation of cardiovascular medical images. These methods can often be used effectively without heavy reliance on learned or explicitly encoded priors. We illustrate, through the use of a toy problem, the basic difference in the performance characteristics of the methods. Subsequently, the suitability of each method to a particular segmentation application in the cardiovascular imaging domain is demonstrated.

Year: 2009
OAI identifier: oai:CiteSeerX.psu:10.1.1.134.4229
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://cns-web.bu.edu/~lgrady/... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.