Advertisement

A New Label Fusion Method Using Graph Cuts: Application to Hippocampus Segmentation

  • C. Platero
  • M. C. Tobar
  • J. Sanguino
  • O. Velasco
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 41)

Abstract

The aim of this paper is to develop a probabilistic modeling framework for the segmentation of structures of interest from a collection of atlases. Given a subset of registered atlases into the target image for a particular Region of Interest (ROI), a statistical model of appearance and shape is computed for fusing the labels. Segmentations are obtained by minimizing an energy function associated with the proposed model, using a graph-cut technique. We test different label fusion methods on publicly available MR images of human brains.

Keywords

Label fusion atlas-based segmentation hippocampus segmentation 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • C. Platero
    • 1
  • M. C. Tobar
    • 1
  • J. Sanguino
    • 1
  • O. Velasco
    • 1
  1. 1.Applied Bioengineering GroupTechnical University of MadridMadridSpain

Personalised recommendations