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Diffeomorphic Cardiac Motion Estimation with Anisotropic Regularization along Myofiber Orientation

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Biomedical Image Registration (WBIR 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7359))

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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.

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Author information

Authors and Affiliations

  1. Department of Biomedical Engineering, Oregon Health and Science University, 20000 NW Walker Road, Beaverton, OR, 97006, USA

    Zhijun Zhang, David J. Sahn & Xubo Song

  2. Department of Pediatric Cardiology, Oregon Health and Science University, 20000 NW Walker Road, Beaverton, OR, 97006, USA

    David J. Sahn

Authors
  1. Zhijun Zhang
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  2. David J. Sahn
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  3. Xubo Song
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering and Computer Science, Vanderbilt University, 2301 Vanderbilt Place, 37235-1824, Nashville, TN, USA

    Benoît M. Dawant

  2. Department of Electrical and Computer Engineering, 4324 Seamans Center for the Engineering Arts and Sciences, University of Iowa, 52242, Iowa City, IA, USA

    Gary E. Christensen

  3. Department of Electrical Engineering and Computer Science, Vanderbilt University, 2301 Vanderbilt Place, 37235-1679, Nashville, TN, USA

    J. Michael Fitzpatrick

  4. Department of Computing, Imperial College London, SW7 2AZ, London, UK

    Daniel Rueckert

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© 2012 Springer-Verlag Berlin Heidelberg

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Zhang, Z., Sahn, D.J., Song, X. (2012). Diffeomorphic Cardiac Motion Estimation with Anisotropic Regularization along Myofiber Orientation. In: Dawant, B.M., Christensen, G.E., Fitzpatrick, J.M., Rueckert, D. (eds) Biomedical Image Registration. WBIR 2012. Lecture Notes in Computer Science, vol 7359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31340-0_21

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  • DOI: https://doi.org/10.1007/978-3-642-31340-0_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31339-4

  • Online ISBN: 978-3-642-31340-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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