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Curvature-Based Registration for Slice Interpolation of Medical Images

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Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications (CompIMAGE 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8641))

Abstract

Slice interpolation is a fast growing field in medical image processing. Intensity-based interpolation and object-based interpolation are two major groups of methods in the literature. In this paper an object based method for slice interpolation using a modified version of curvature registration is proposed. Due to non-linear nature of image registration the results of forward and backward registration can be different. Therefore assuming a linear displacement between corresponding pixels of reference and moving image, a functional is minimized and the displacement fields for both reference and moving images with respect to the missing in-between slice are computed and used for reconstruction of the missing slice. The proposed approach is evaluated quantitatively by using the Mean Squared Difference (MSD) as metric. The produced results show significant visual improvement in preserving sharp edges in images.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, University of Wisconsin, Milwaukee, WI, USA

    Ahmadreza Baghaie

  2. Department of Computer Science, University of Wisconsin, Milwaukee, WI, USA

    Zeyun Yu

Authors
  1. Ahmadreza Baghaie
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  2. Zeyun Yu
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Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, Carnegie Mellon University, 5000 Forbes Avenue, 15213, Pittsburgh, PA, USA

    Yongjie Jessica Zhang

  2. Faculdade de Engenharia, Departamento de Engenharia Mecânica, Universidade do Porto, Rua Dr. Roberto Frias, S/N, 4200-465, Porto, Portugal

    João Manuel R. S. Tavares

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© 2014 Springer International Publishing Switzerland

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Baghaie, A., Yu, Z. (2014). Curvature-Based Registration for Slice Interpolation of Medical Images. In: Zhang, Y.J., Tavares, J.M.R.S. (eds) Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications. CompIMAGE 2014. Lecture Notes in Computer Science, vol 8641. Springer, Cham. https://doi.org/10.1007/978-3-319-09994-1_7

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  • DOI: https://doi.org/10.1007/978-3-319-09994-1_7

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09993-4

  • Online ISBN: 978-3-319-09994-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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