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A Spatial-Temporal Frequency Approach to Estimate Cardiac Motion

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Advances in Visual Computing (ISVC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6453))

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Abstract

The estimation of left ventricle motion and deformation from series of images has been an area of attention in the medical image analysis and still remains an open and challenging research problem. The proper tracking of left ventricle wall can contribute to isolate the location and extent of ischemic or infarcted myocardium. This work describes a method to automatically estimate the displacement fields for a beating heart based on the study of the variation in the frequency content of a non-stationary image as time varies. Results obtained with this automated method in synthetic images are compared with traditional gradient based method. Furthermore, experiments involving cardiac SPECT images are also presented.

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Author information

Authors and Affiliations

  1. Heart Institute, University of São Paulo Medical School, Av. Dr. Enéas de Carvalho Aguiar 44, CEP 05403-000, São Paulo, SP, Brazil

    Marco Gutierrez, Marina Rebelo & Wietske Meyering

  2. National Laboratory for Scientific Computation, Av. Getúlio Vargas 333, CEP 25651-075, Petrópolis, RJ, Brazil

    Raúl Feijóo

Authors
  1. Marco Gutierrez
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  2. Marina Rebelo
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  3. Wietske Meyering
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  4. Raúl Feijóo
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada, 89557, Reno, NV, USA

    George Bebis

  2. NASA Ames Research Center, 94035, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. The Chinese University of Hong Kong, Shatin, Hong Kong, China

    Ronald Chung

  6. Dyna Vox Systems, Pittsburgh, PA, USA

    Riad Hammoud

  7. King Saud University, Riyadh, Saudi Arabia

    Muhammad Hussain

  8. Hewlett Packard Labs, Paolo Alto, CA, USA

    Tan Kar-Han

  9. The Ohio State University, Columbus, OH, USA

    Roger Crawfis

  10. Virtual Reality Lab, EPFL, Lausanne, Switzerland

    Daniel Thalmann

  11. NASA Ames Research Center, Clifton Park, NY, USA

    David Kao

  12. Kitware, Clifton Park, NY, USA

    Lisa Avila

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© 2010 Springer-Verlag Berlin Heidelberg

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Gutierrez, M., Rebelo, M., Meyering, W., Feijóo, R. (2010). A Spatial-Temporal Frequency Approach to Estimate Cardiac Motion. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2010. Lecture Notes in Computer Science, vol 6453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17289-2_51

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  • DOI: https://doi.org/10.1007/978-3-642-17289-2_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17288-5

  • Online ISBN: 978-3-642-17289-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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