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International Conference on Computer Vision, Virtual Reality, and Robotics in Medicine

International Conference on Medical Robotics and Computer-Assisted Surgery

CVRMed 1997, MRCAS 1997: CVRMed-MRCAS'97 pp 171–180Cite as

Rigid registration of CT, MR and cryosection images using a GLCM framework

  • Validation of Registration Techniques
  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1205))

Abstract

The majority of the available rigid registration measures are based on a 2-dimensional histogram of corresponding grey-values in the registered images. This paper shows that these features are similar to a family of texture measures based on Grey Level Cooccurrence Matrices (GLCM). Features from the GLCM literature are compared to the current range of measures using images from the visible human data set. The voxel-based rigid registration of Cryosection and CT images have not been reported before. The tests show that mutual information is the best general measure, but some GLCM features are better for specific modality combinations.

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Author information

Authors and Affiliations

  1. HT Medical, Inc., 6001 Montrose Road, Suite 902, 20852, Rockville, MD, USA

    Morten Bro-Nielsen

  2. 3D-Lab, School of Dentistry, Univ. of Copenhagen, Denmark

    Morten Bro-Nielsen

  3. Dept. of Mathematical Modelling, Technical University of Denmark, Denmark

    Morten Bro-Nielsen

Authors
  1. Morten Bro-Nielsen
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Editor information

Jocelyne Troccaz Eric Grimson Ralph Mösges

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© 1997 Springer-Verlag Berlin Heidelberg

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Bro-Nielsen, M. (1997). Rigid registration of CT, MR and cryosection images using a GLCM framework. In: Troccaz, J., Grimson, E., Mösges, R. (eds) CVRMed-MRCAS'97. CVRMed MRCAS 1997 1997. Lecture Notes in Computer Science, vol 1205. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029236

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  • DOI: https://doi.org/10.1007/BFb0029236

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62734-0

  • Online ISBN: 978-3-540-68499-2

  • eBook Packages: Springer Book Archive

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