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Obtaining Representative Core Streamlines for White Matter Tractometry of the Human Brain

  • Maxime ChamberlandEmail author
  • Samuel St-Jean
  • Chantal M. W. Tax
  • Derek K. Jones
Conference paper
Part of the Mathematics and Visualization book series (MATHVISUAL)

Abstract

Diffusion MRI infers information about the micro-structural architecture of the brain by probing the diffusion of water molecules. The process of virtually reconstructing brain pathways based on these measurements is called tractography. Various metrics can be mapped onto pathways to study their micro-structural properties. Tractometry is an along-tract profiling technique that often requires the extraction of a representative streamline for a given bundle. This is traditionally computed by local averaging of the spatial coordinates of the vertices, and constructing a single streamline through those averages. However, the resulting streamline can end up being highly non-representative of the shape of the individual streamlines forming the bundle. In particular, this occurs when there is variation in the topology of streamlines within a bundle (e.g., differences in length, shape or branching). We propose an envelope-based method to compute a representative streamline that is robust to these individual differences. We demonstrate that this method produces a more representative core streamline, which in turn should lead to more reliable and interpretable tractometry analyses.

Keywords

Tractography Tractometry Bundle envelope Core streamline Diffusion MRI 

Notes

Acknowledgements

M.C. is supported by the Postdoctoral Fellowships Program from the Natural Sciences and Engineering Research Council of Canada (PDF-502385-2017). S.SJ. is funded by the Fonds de recherche du Quebec Nature et technologies (FRQNT). C.M.W.T. is supported by a Rubicon grant from the Netherlands Organisation for Scientific Research (680-50-1527). This work was also supported by a Wellcome Trust Investigator Award (096646/Z/11/Z), a Wellcome Trust Strategic Award (104943/Z/14/Z), and by the Engineering and Physical Sciences Research Council (EP/M029778/1).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff UniversityCardiffUK
  2. 2.Center for Image Sciences, Department of RadiologyUniversity Medical Center UtrechtUtrechtThe Netherlands
  3. 3.Mary McKillop Institue for Health Research, Australian Catholic UniversityVictoriaAustralia

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