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Spatio-temporal Registration of 2D US and 3D MR Images for the Characterization of Hypertrophic Cardiomyopathy

  • Julián Betancur
  • Frédéric Schnell
  • Antoine Simon
  • François Tavard
  • Erwan Donal
  • Alfredo Hernández
  • Mireille Garreau
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7945)

Abstract

A spatio-temporal registration procedure of speckle-tracking echocardiography (STE) and cine magnetic resonance (MR) images is presented. It aims to fuse the mechanical information in STE with the tissue information in MR late-gadolinium-enhanced image (LGE-MR), in order to describe the relationship between left ventricular myocardial strain and macroscopic fibrosis in patients with hypertrophic cardiomyopathy (HCM). The registration was performed between the four-chambers-view STE contours (at rest), and the endocardial surfaces of the left ventricle (LV) from cine-MR short-axis-view sequence. The dynamic LV geometries were described by their Fourier descriptors. This spatio-temporal representation of LV geometries was exploited to avoid the lack of dissimilarity between static geometries. To accomplish this goal, the temporal alignment was performed with the dynamical time warping method. The registration was evaluated on four HCM patients with myocardial fibrosis. First results suggest a relationship between myocardial fibrosis and the modification of the strain curve.

Keywords

Late Gadolinium Enhancement Hypertrophic Cardiomyopathy Dynamical Time Warping Fourier Descriptor Fourier Decomposition 
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 2013

Authors and Affiliations

  • Julián Betancur
    • 1
    • 2
  • Frédéric Schnell
    • 1
    • 2
    • 3
  • Antoine Simon
    • 1
    • 2
  • François Tavard
    • 1
    • 2
  • Erwan Donal
    • 1
    • 2
    • 4
  • Alfredo Hernández
    • 1
    • 2
  • Mireille Garreau
    • 1
    • 2
  1. 1.UMR1099INSERMRennesFrance
  2. 2.LTSIUniversité de Rennes 1RennesFrance
  3. 3.Lab. de Physiologie MédicaleUniversité de Rennes 1RennesFrance
  4. 4.CHU Rennes, Service de CardiologieRennesFrance

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