%0 Conference Proceedings %T Factors Affecting Optical Flow Performance in Tagging Magnetic Resonance Imaging %A Patricia Marquez %A H. Kause %A A. Fuster %A Aura Hernandez-Sabate %A L. Florack %A Debora Gil %A Hans van Assen %B 17th International Conference on Medical Image Computing and Computer Assisted Intervention %D 2014 %V 8896 %I Springer International Publishing %@ 0302-9743 %@ 978-3-319-14677-5 %F Patricia Marquez2014 %O IAM; ADAS; 600.060; 601.145; 600.076; 600.075 %O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2495), last updated on Thu, 10 Nov 2016 12:18:46 +0100 %X 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 di erent clinical acquisition artifacts. This paper presents a statistical validation framework, based on ANOVA, to assess the motion and appearance factors that have the largest in uence 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 di erent OF methods, including HARP. %K Optical flow %K Performance Evaluation %K Synthetic Database %K ANOVA %K Tagging Magnetic Resonance Imaging %U http://refbase.cvc.uab.es/files/MKF2014.pdf %U http://dx.doi.org/10.1007/978-3-319-14678-2_24 %P 231-238