Optimization for Multi-Region Segmentation of Cardiac MRI

  • Johannes Ulén
  • Petter Strandmark
  • Fredrik Kahl
Conference paper

DOI: 10.1007/978-3-642-28326-0_13

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7085)
Cite this paper as:
Ulén J., Strandmark P., Kahl F. (2012) Optimization for Multi-Region Segmentation of Cardiac MRI. In: Camara O., Konukoglu E., Pop M., Rhode K., Sermesant M., Young A. (eds) Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2011. Lecture Notes in Computer Science, vol 7085. Springer, Berlin, Heidelberg

Abstract

We introduce a new multi-region model for simultaneous segmentation of the left and right ventricles, myocardium and the left ventricular papillary muscles in MRI. The model enforces geometric constraints such as inclusion and exclusion between the regions, which makes it possible to correctly segment different regions even though the intensity distributions are identical. We efficiently optimize the model using Lagrangian duality which is faster and more memory efficient than current state of the art. As the optimization is based on global techniques, the resulting segmentations are independent of initialization. We evaluate our approach on two benchmarks with competitive results.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Johannes Ulén
    • 1
  • Petter Strandmark
    • 1
  • Fredrik Kahl
    • 1
  1. 1.Centre for Mathematical SciencesLund UniversitySweden

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