Automated, accurate and fast segmentation of 4D cardiac MR images

  • Authors:
  • Jean Cousty;Laurent Najman;Michel Couprie;Stéphanie Clément-Guinaudeau;Thomas Goissen;Jerôme Garot

  • Affiliations:
  • Institut Gaspard-Monge, Laboratoire A2SI, Groupe ESIEE, France;Institut Gaspard-Monge, Laboratoire A2SI, Groupe ESIEE, France;Institut Gaspard-Monge, Laboratoire A2SI, Groupe ESIEE, France;CHU Henri Mondor, Créteil, France;CHU Henri Mondor, Créteil, France;CHU Henri Mondor, Créteil, France

  • Venue:
  • FIMH'07 Proceedings of the 4th international conference on Functional imaging and modeling of the heart
  • Year:
  • 2007

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Abstract

We propose a new automated and fast procedure to segment the left ventricular myocardium in 4D (3D+t) cine-MRI sequences based on discrete mathematical morphology. Thanks to the comparison with manual segmentation performed by two cardiologists, we demonstrate the accuracy of the proposed method. The precision of the ejection fraction and myocardium mass measured from segmentations is also assessed. Furthermore, we show that the proposed 4D procedure maintains the temporal coherency between successive 3D segmentations.