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Real-Time 3D Image Segmentation by User-Constrained Template Deformation

  • Benoît Mory
  • Oudom Somphone
  • Raphael Prevost
  • Roberto Ardon
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7510)

Abstract

We describe an algorithm for 3D interactive image segmentation by non-rigid implicit template deformation, with two main original features. First, our formulation incorporates user input as inside/outside labeled points to drive the deformation and improve both robustness and accuracy. This yields inequality constraints, solved using an Augmented Lagrangian approach. Secondly, a fast implementation of non-rigid template-to-image registration enables interactions with a real-time visual feedback. We validated this generic technique on 21 Contrast-Enhanced Ultrasound images of kidneys and obtained accurate segmentation results (Dice> 0.93) in less than 3 clicks in average.

Keywords

Image Segmentation Active Shape Model Prior Shape Liver Segmentation Augmented Lagrangian Approach 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Benoît Mory
    • 1
  • Oudom Somphone
    • 1
  • Raphael Prevost
    • 1
  • Roberto Ardon
    • 1
  1. 1.Medisys, Philips ResearchSuresnesFrance

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