Which Reorientation Framework for the Atlas-Based Comparison of Motion from Cardiac Image Sequences? - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2012

Which Reorientation Framework for the Atlas-Based Comparison of Motion from Cardiac Image Sequences?

Résumé

The present paper builds upon recent advances in the spatiotemporal alignment of cardiac sequences to construct a statistical atlas of normal motion. Comparing cardiac sequences requires considering both the temporal component (changes along the sequences) and the inter-subject one. The objective here is to understand the changes in the comparison of myocardial velocities depending on (1) the chosen reorientation action (finite strain [local rotation only], local rotation and isotropic scaling, or full Jacobian matrix using the push-forward) and (2) the chosen system of coordinates (Lagrangian, Eulerian, or if a compromise between both [e.g. hybrid-Eulerian] is possible). Myocardial velocities are estimated locally using speckle tracking on echocardiographic (US) sequences, then aligned to a reference timescale, and finally reoriented to the anatomical reference according to the chosen reorientation framework. The methodology was applied to 2D US sequences in a 4-chamber view from 71 healthy volunteers. Experiments highlight the limitations of the hybrid-Eulerian scheme, showing that the intra-subject transformation should be taken into account, and discuss the options to perform the inter-subject one.
Fichier non déposé

Dates et versions

hal-00813822 , version 1 (16-04-2013)

Identifiants

Citer

Nicolas Duchateau, Mathieu de Craene, Xavier Pennec, Beatriz Merino, Marta Sitges, et al.. Which Reorientation Framework for the Atlas-Based Comparison of Motion from Cardiac Image Sequences?. STIA 2012 (Spatio-Temporal Image Analysis for Longitudinal and Time-Series Image Data, Sep 2012, Nice, France. pp.25-37, ⟨10.1007/978-3-642-33555-6_3⟩. ⟨hal-00813822⟩
300 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More