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• W2112872942 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." @default.
• W2112872942 created "2016-06-24" @default.
• W2112872942 creator A5031651070 @default.
• W2112872942 creator A5072822538 @default.
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• W2112872942 date "2012-01-01" @default.
• W2112872942 modified "2023-09-27" @default.
• W2112872942 title "Diffeomorphic Cardiac Motion Estimation with Anisotropic Regularization along Myofiber Orientation" @default.
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• W2112872942 doi "https://doi.org/10.1007/978-3-642-31340-0_21" @default.
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