Comparison of Self-similarity Measures for Multi-modal Non-rigid Registration of 3D-PLI Brain Images

  • Sharib AliEmail author
  • Dehui Lin
  • Markus Axer
  • Karl Rohr
Conference paper
Part of the Informatik aktuell book series (INFORMAT)


We introduce self-similarity measures in a spline-based nonrigid registration method. We applied our method to register multimodal 3D polarized light imaging and blockface image data of human and rat brain sections. Quantitative evaluations demonstrate that using self-similarity measures increases the accuracy and robustness compared to a traditional mutual information measure.


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Copyright information

© Springer-Verlag GmbH Deutschland 2018

Authors and Affiliations

  1. 1.Department of Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, BIOQUANT, IPMB, DKFZUniversity of HeidelbergHeidelbergDeutschland
  2. 2.Institute of Neuroscience and Medicine 1Research Centre JülichJülichDeutschland

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