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International Symposium on Visual Computing

ISVC 2014: Advances in Visual Computing pp 21–30Cite as

Analysis of Biomedical Images Based on Automated Methods of Image Registration

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8887))

Abstract

This paper gives a review of the methods that we have developed over the last few years to register 2D/3D images and image sequences. Initially, we will introduce a feature-based method, which will be followed up by a summary of the intensity-based methods. Then we will present some applications of our methods using biomedical images with more automated image analysis tasks. The main applications are related to plantar pressure images and SPECT brain images, including both static images and image sequences.

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References

  1. Oliveira, F.P.M., Tavares, J.M.R.S.: Medical image registration: a review. Comput. Method. Biomec. 17, 73–93 (2014)

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  3. Tavares, J.M.R.S., Bastos, L.F.: Improvement of modal matching image objects in dynamic pedobarography using optimization techniques. In: Progress in Computer Vision and Image Analysis, vol. 73, pp. 339–368. World Scientific (2010)

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  5. Oliveira, F.P.M., Tavares, J.M.R.S.: Matching contours in images through the use of curvature, distance to centroid and global optimization with order-preserving constraint. CMES-Comp. Model. Eng. 43, 91–110 (2009)

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Author information

Authors and Affiliations

  1. Instituto de Engenharia Mecânica e Gestão Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Portugal

    João Manuel R. S. Tavares

Authors
  1. João Manuel R. S. Tavares
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Editor information

Editors and Affiliations

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

    George Bebis

  2. NASA Ames Research Center, 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 University of Texas at Dallas, 75080, Richardson, TX, USA

    Ryan McMahan

  6. NextGen Interactions, 27604, Raleigh, NC, USA

    Jason Jerald

  7. Indiana University, 46202, Indianapolis, IN, USA

    Hui Zhang

  8. Microsoft Research, 1 Microsoft Way, 98052, Redmond, WA, USA

    Steven M. Drucker

  9. University of Delaware, 19716-2712, Newark, DE, USA

    Chandra Kambhamettu

  10. Intel Corp., 95054, Santa Clara, CA, USA

    Maha El Choubassi

  11. Computer Graphics and Interactive Media Lab, Department of Computer Science, University of Houston, 77004, Houston, TX, USA

    Zhigang Deng

  12. NVIDIA, 34788, Leesburg, FL, USA

    Mark Carlson

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Tavares, J.M.R.S. (2014). Analysis of Biomedical Images Based on Automated Methods of Image Registration. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2014. Lecture Notes in Computer Science, vol 8887. Springer, Cham. https://doi.org/10.1007/978-3-319-14249-4_3

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  • DOI: https://doi.org/10.1007/978-3-319-14249-4_3

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14248-7

  • Online ISBN: 978-3-319-14249-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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