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Variational Multiple Warping for Cardiac Image Analysis

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Computer Analysis of Images and Patterns (CAIP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9257))

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Abstract

This paper focuses on multiple image warping that is used to compute deformation fields between an image and a collection of images as an extension of variational registration. First, we develop a variational method for the computation of the average of volumetric beating-heart images. Second, we also develop a variational method for the frame-rate up-conversion of optical-flow fields, in which we combine motion coherence in an image sequence and the smoothness of the temporal flow field.

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Author information

Authors and Affiliations

  1. School of Advanced Integration Science, Chiba University, Chiba, Japan

    Shun Inagaki & Hayato Itoh

  2. Institute of Management and Information Technologies, Chiba University, Yayoi-cho 1-33, Inage-ku, Chiba, 263-8522, Japan

    Atsushi Imiya

Authors
  1. Shun Inagaki
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  2. Hayato Itoh
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  3. Atsushi Imiya
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Corresponding author

Correspondence to Atsushi Imiya .

Editor information

Editors and Affiliations

  1. University of Malta, Msida, Malta

    George Azzopardi

  2. University of Groningen, Groningen, The Netherlands

    Nicolai Petkov

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Inagaki, S., Itoh, H., Imiya, A. (2015). Variational Multiple Warping for Cardiac Image Analysis. In: Azzopardi, G., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2015. Lecture Notes in Computer Science(), vol 9257. Springer, Cham. https://doi.org/10.1007/978-3-319-23117-4_64

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  • DOI: https://doi.org/10.1007/978-3-319-23117-4_64

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23116-7

  • Online ISBN: 978-3-319-23117-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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