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Groupwise Deformable Registration of Fiber Track Sets Using Track Orientation Distributions

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Computational Diffusion MRI and Brain Connectivity

Part of the book series: Mathematics and Visualization ((MATHVISUAL))

Abstract

Diffusion-weighted imaging (DWI) and tractography allow to study the macroscopic structure of white matter in vivo. We present a novel method for deformable registration of unsegmented full-brain fiber track sets extracted from DWI data. Our method attempts to align the track orientation distributions (TODs) of multiple subjects, rather than individual tracks. As such, it can handle complex track configurations and allows for multi-resolution registration. We validated the registration method on synthetically deformed DWI data and on data of 15 healthy subjects, and achieved sub-voxel accuracy in dense white matter structures. This work is, to the best of our knowledge, the first demonstration of direct registration of probabilistic tractography data.

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Acknowledgements

D. Christiaens is supported by a Ph.D. grant of the Agency for Innovation by Science and Technology (IWT).

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Authors and Affiliations

  1. Department of Electrical Engineering, ESAT/PSI, Medical Image Computing, Medical Imaging Research Center, KU Leuven, Herestraat 49, Leuven, Belgium

    Daan Christiaens, Thijs Dhollander, Frederik Maes & Paul Suetens

  2. Department of Imaging & Pathology, Translational MRI, Medical Imaging Research Center, KU Leuven, Herestraat 49, Leuven, Belgium

    Stefan Sunaert

Authors
  1. Daan Christiaens
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  2. Thijs Dhollander
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  3. Frederik Maes
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  4. Stefan Sunaert
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  5. Paul Suetens
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Corresponding author

Correspondence to Daan Christiaens .

Editor information

Editors and Affiliations

  1. University of Bonn, Bonn, Germany

    Thomas Schultz

  2. Dept. of Computer Science, University College London Centre for Medical Image Computing, London, United Kingdom

    Gemma Nedjati-Gilani

  3. MIT CSAIL, Cambridge, Massachusetts, USA

    Archana Venkataraman

  4. Brigham and Women's Hospital Depts of Radiology and Neurosurgery, Boston, Massachusetts, USA

    Lauren O'Donnell

  5. Dept. of Computer Science, University College London Centre for Medical Image Computing, London, United Kingdom

    Eleftheria Panagiotaki

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© 2014 Springer International Publishing Switzerland

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Christiaens, D., Dhollander, T., Maes, F., Sunaert, S., Suetens, P. (2014). Groupwise Deformable Registration of Fiber Track Sets Using Track Orientation Distributions. In: Schultz, T., Nedjati-Gilani, G., Venkataraman, A., O'Donnell, L., Panagiotaki, E. (eds) Computational Diffusion MRI and Brain Connectivity. Mathematics and Visualization. Springer, Cham. https://doi.org/10.1007/978-3-319-02475-2_14

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