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

  • Conference paper
Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data (STIA 2012)

Abstract

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.

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Duchateau, N., De Craene, M., Pennec, X., Merino, B., Sitges, M., Bijnens, B. (2012). Which Reorientation Framework for the Atlas-Based Comparison of Motion from Cardiac Image Sequences?. In: Durrleman, S., Fletcher, T., Gerig, G., Niethammer, M. (eds) Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data. STIA 2012. Lecture Notes in Computer Science, vol 7570. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33555-6_3

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  • DOI: https://doi.org/10.1007/978-3-642-33555-6_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33554-9

  • Online ISBN: 978-3-642-33555-6

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