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Fast Brain MRI Registration with Automatic Landmark Detection Using a Single Template Image

  • Olga V. Senyukova
  • Denis S. Zobnin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9358)

Abstract

Automatic registration of brain MR images is still a challenging problem. We have chosen an approach based on landmarks matching. However, manual landmarking of the images is cumbersome. Existing algorithms for automatic identification of pre-defined set of landmarks usually require manually landmarked training bases. We propose the registration algorithm that involves automatic detection of landmarks with the use of only one manually landmarked template image. Landmarks are detected using Canny edge detector and point descriptors. Evaluation of four types of descriptors showed that SURF provides the best trade-off between speed and accuracy. Thin plate spline transformation is used for landmark-based registration. The proposed algorithm was compared with the best existing registration algorithm without the use of local features. Our algorithm showed significant speed-up and better accuracy in matching of anatomical structures surrounded by the landmarks. All the experiments were performed on the IBSR database.

Notes

Acknowledgments

The authors would like to thank Alexey V. Petraikin, M.D. from Pirogov Russian National Research Medical University (RNRMU) for valuable discussion.

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Copyright information

© Springer International Publishing Switzerland 2015

Open Access This chapter is distributed under the terms of the Creative Commons Attribution Noncommercial License, which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

Authors and Affiliations

  1. 1.Faculty of Computational Mathematics and CyberneticsLomonosov Moscow State UniversityMoscowRussian Federation

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