TY - CONF AU - Patricia Marquez AU - H. Kause AU - A. Fuster AU - Aura Hernandez-Sabate AU - L. Florack AU - Debora Gil AU - Hans van Assen A2 - STACOM PY - 2014// TI - Factors Affecting Optical Flow Performance in Tagging Magnetic Resonance Imaging T2 - LNCS BT - 17th International Conference on Medical Image Computing and Computer Assisted Intervention SP - 231 EP - 238 VL - 8896 PB - Springer International Publishing KW - Optical flow KW - Performance Evaluation KW - Synthetic Database KW - ANOVA KW - Tagging Magnetic Resonance Imaging N2 - 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. SN - 0302-9743 SN - 978-3-319-14677-5 L1 - http://refbase.cvc.uab.es/files/MKF2014.pdf UR - http://dx.doi.org/10.1007/978-3-319-14678-2_24 N1 - IAM; ADAS; 600.060; 601.145; 600.076; 600.075 ID - Patricia Marquez2014 ER -