@InProceedings{PatriciaMarquez2014,
author="Patricia Marquez
and H. Kause
and A. Fuster
and Aura Hernandez-Sabate
and L. Florack
and Debora Gil
and Hans van Assen",
title="Factors Affecting Optical Flow Performance in Tagging Magnetic Resonance Imaging",
booktitle="17th International Conference on Medical Image Computing and Computer Assisted Intervention",
year="2014",
publisher="Springer International Publishing",
volume="8896",
pages="231--238",
optkeywords="Optical flow",
optkeywords="Performance Evaluation",
optkeywords="Synthetic Database",
optkeywords="ANOVA",
optkeywords="Tagging Magnetic Resonance Imaging",
abstract="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 dierent 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 dierent OF methods, including HARP.",
optnote="IAM; ADAS; 600.060; 601.145; 600.076; 600.075",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2495), last updated on Thu, 10 Nov 2016 12:18:46 +0100",
isbn="978-3-319-14677-5",
issn="0302-9743",
doi="10.1007/978-3-319-14678-2_24",
file=":http://refbase.cvc.uab.es/files/MKF2014.pdf:PDF"
}