Motion estimation in 3d echocardiography using smooth field registration

  • Authors:
  • Oudom Somphone;Cécile Dufour;Benoît Mory;Loïc Hilpert;Sherif Makram-Ebeid;Nicolas Villain;Mathieu De Craene;Pascal Allain;Eric Saloux

  • Affiliations:
  • Medisys, Philips Research, Suresnes, France;Medisys, Philips Research, Suresnes, France;Medisys, Philips Research, Suresnes, France;Department of Cardiology, University Hospital of Caen, Caen, France;Medisys, Philips Research, Suresnes, France;Medisys, Philips Research, Suresnes, France;Medisys, Philips Research, Suresnes, France;Medisys, Philips Research, Suresnes, France;Department of Cardiology, University Hospital of Caen, Caen, France

  • Venue:
  • STACOM'12 Proceedings of the third international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges
  • Year:
  • 2012

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Abstract

This paper describes an algorithm for motion and deformation quantification of 3D cardiac ultrasound sequences. The algorithm is based on the assumption that the deformation field is smooth inside the myocardium. Thus, we assume that the displacement field can be represented as the convolution of an unknown field with a Gaussian kernel. We apply our algorithm to datasets with reliable ground truth: a set of synthetic sequences with known trajectories and a set of sequences of a mechanical phantom implanted with microsonometry crystals.