@inproceedings{0acd161bf22f4bf48113ebfd69bf367a,
title = "Diffeomorphic cardiac motion estimation with anisotropic regularization along myofiber orientation",
abstract = "Quantitative motion analysis from cardiac imaging is an important yet challenging problem. Most of the existing cardiac motion estimation methods ignore the fact that the myocardium is a fibrous structure with elastic anisotropy. We propose a novel method in which an anisotropic regularization energy is used to favor the motion consistency with the myofiber orientation. The myofiber direction comes from a diffusion tensor image and it is mapped to the end-diastole frame by using nonrigid registration. We implement the method based on a diffeomorphic motion estimation framework in which a spatiotemporally smooth velocity field is estimated by optimization of a variational energy. We validate the proposed method by using cine magnetic resonance imaging (MRI) datasets and echocardiography of an open-chest pig with sonomicrometry. We compare the proposed method with a temporal diffeomorphic free form deformation method without consideration of myofiber orientation. Experiments results show that the proposed motion estimation method has higher accuracy.",
keywords = "Diffeomorphic registration, motion estimation, myofiber orientation, nonrigid registration",
author = "Zhijun Zhang and Sahn, {David J.} and Xubo Song",
year = "2012",
doi = "10.1007/978-3-642-31340-0_21",
language = "English (US)",
isbn = "9783642313394",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "199--208",
booktitle = "Biomedical Image Registration - 5th International Workshop, WBIR 2012, Proceedings",
note = "5th International Workshop on Biomedical Image Registration, WBIR 2012 ; Conference date: 07-07-2012 Through 08-07-2012",
}