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Cardiac Motion Estimation by Optimizing Transmural Homogeneity of the Myofiber Strain and Its Validation with Multimodal Sequences
Zhijun Zhang1, David J. Sahn1,2, and Xubo Song1
1Department of Biomedical Engineering, Oregon Health and Science University, 20000 NW Walker Road, Beaverton, OR 97006, USA
zhangzhi@ohsu.edu
sahn@ohsu.edu
songx@ohsu.edu
2Department of Pediatric Cardiology, Oregon Health and Science University, 20000 NW Walker Road, Beaverton, OR 97006, USA
Abstract. Quantitative motion analysis from cardiac imaging is important to study the function of heart. Most of existing image-based motion estimation methods model the myocardium as an isotropically elastic continuum. We propose a novel anisotropic regularization method which enforces the transmural homogeneity of the strain along myofiber. The myofiber orientation in the end-diastolic frame is obtained by registering it with a diffusion tensor atlas. Our method is formulated in a diffeomorphic registration framework, and tested on multimodal cardiac image sequences of two subjects using 3D echocardiography and cine and tagged MRI. Results show that the estimated transformations in our method are more smooth and more accurate than those in isotropic regularization.
Keywords: Cardiac motion estimation, diffeomorphic registration, cardiac strain, myofiber orientation
LNCS 8149, p. 493 ff.
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© Springer-Verlag Berlin Heidelberg 2013