Factors Affecting Optical Flow Performance in Tagging Magnetic Resonance Imaging

  • Patricia Márquez-Valle
  • Hanne Kause
  • Andrea Fuster
  • Aura Hernàndez-Sabaté
  • Luc Florack
  • Debora Gil
  • Hans C. van  Assen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8896)


Changes in cardiac deformation patterns are correlated with cardiac pathologies. Deformation can be extracted from tagging Magnetic Resonance Imaging (tMRI) using Optical Flow (OF) techniques. For applications of OF in a clinical setting it is important to assess to what extent the performance of a particular OF method is stable across different clinical acquisition artifacts. This paper presents a statistical validation framework, based on ANOVA, to assess the motion and appearance factors that have the largest influence on OF accuracy drop. In order to validate this framework, we created a database of simulated tMRI data including the most common artifacts of MRI and test three different OF methods, including HARP.


Optical flow Performance evaluation Synthetic database ANOVA Tagging magnetic resonance imaging 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Patricia Márquez-Valle
    • 1
  • Hanne Kause
    • 2
  • Andrea Fuster
    • 3
    • 4
  • Aura Hernàndez-Sabaté
    • 1
  • Luc Florack
    • 3
    • 4
  • Debora Gil
    • 1
  • Hans C. van  Assen
    • 2
  1. 1.Computer Vision CenterAutonomous University of BarcelonaBarcelonaSpain
  2. 2.Department of Electrical EngineeringEindhoven University of TechnologyEindhovenThe Netherlands
  3. 3.Department of Biomedical EngineeringEindhoven University of TechnologyEindhovenThe Netherlands
  4. 4.Department of Mathematics and Computer ScienceEindhoven University of TechnologyEindhovenThe Netherlands

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