Driving dynamic cardiac model adaptation with MR-tagging displacement information

  • Authors:
  • Christopher Casta;Patrick Clarysse;Jérôme Pousin;Joël Schaerer;Pierre Croisille;Yue-Min Zhu

  • Affiliations:
  • Université de Lyon, CREATIS, CNRS UMR5220, INSERM U1044, INSA-Lyon, Université Lyon 1, Villeurbanne, France;Université de Lyon, CREATIS, CNRS UMR5220, INSERM U1044, INSA-Lyon, Université Lyon 1, Villeurbanne, France;Université de Lyon, ICJ, CNRS UMR5208, INSA-Lyon, Université Lyon 1, Villeurbanne, France;Université de Lyon, CREATIS, CNRS UMR5220, INSERM U1044, INSA-Lyon, Université Lyon 1, Villeurbanne, France;Université de Lyon, CREATIS, CNRS UMR5220, INSERM U1044, INSA-Lyon, Université Lyon 1, Villeurbanne, France;Université de Lyon, CREATIS, CNRS UMR5220, INSERM U1044, INSA-Lyon, Université Lyon 1, Villeurbanne, France

  • Venue:
  • FIMH'11 Proceedings of the 6th international conference on Functional imaging and modeling of the heart
  • Year:
  • 2011

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Abstract

The dynamic deformable elastic template (DET) model has been previously introduced for the retrieval of personalized anatomical and functional models of the heart from dynamic cardiac image sequences. Dynamic DET model is a finite element deformable model, for which the minimum of the energy must satisfy a simplified equation of Dynamics. In this paper, we extend its scope to the retrieval of cardiac deformation within tagged magnetic imaging, using precomputed displacement fields as prior data to drive the model. Evaluation conducted on simulated sequences shows the performance of the model to track heart motion as a function of the quantity and quality of prior displacement information.