@inproceedings{8ecfed966c8d447f93912e2a0c568170,
title = "Factors affecting optical flow performance in 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 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.",
author = "P. Marquez-Valle and H.B. Kause and A. Fuster and A. Hern{\`a}ndez-Sabat{\'e} and L.M.J. Florack and D. Gil and {Assen, van}, H.C.",
year = "2015",
doi = "10.1007/978-3-319-14678-2_24",
language = "English",
isbn = "978-3-319-14677-5",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "231--238",
editor = "O. Camara and T. Mansi and M. Pop and K. Rhode and M. Sermesant and A. Young",
booktitle = "Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges (5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers)",
address = "Germany",
note = "5th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2014), STACOM 2014 ; Conference date: 18-09-2014 Through 18-09-2014",
}