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International Conference on Functional Imaging and Modeling of the Heart

FIMH 2015: Functional Imaging and Modeling of the Heart pp 265–272Cite as

Cross-Frame Ultrasonic Color Doppler Flow Heart Image Unwrapping

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9126))

Abstract

Ultrasonic color Doppler flow image unwrapping algorithm that uses cross-frame connection is proposed and compared with other unwrapping methods. An original complex phase preliminary filtration is used to suppress a false-aliasing artifact and to improve the results. Flow variances are used as weight coefficients in the minimization energy function. For the comparison a test data series is constructed. It uses an anatomic 3D left ventricle region model for the simulation of the blood flow. Experiments show that cross-frame weights significantly improve the quality of unwrapping.

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Acknowledgments

The work was supported by Russian Science Foundation grant #14-11-00308.

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Authors and Affiliations

  1. Laboratory of Mathematical Methods of Image Processing, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Moscow, Russia

    Artem Yatchenko & Andrey Krylov

Authors
  1. Artem Yatchenko
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  2. Andrey Krylov
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Corresponding author

Correspondence to Artem Yatchenko .

Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Hans van Assen

  2. Eindhoven University of Technology, Eindhoven, The Netherlands

    Peter Bovendeerd

  3. Maastricht University, Maastricht, The Netherlands

    Tammo Delhaas

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© 2015 Springer International Publishing Switzerland

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Yatchenko, A., Krylov, A. (2015). Cross-Frame Ultrasonic Color Doppler Flow Heart Image Unwrapping. In: van Assen, H., Bovendeerd, P., Delhaas, T. (eds) Functional Imaging and Modeling of the Heart. FIMH 2015. Lecture Notes in Computer Science(), vol 9126. Springer, Cham. https://doi.org/10.1007/978-3-319-20309-6_31

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  • DOI: https://doi.org/10.1007/978-3-319-20309-6_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20308-9

  • Online ISBN: 978-3-319-20309-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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