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Improved Reference Tracts for Unsupervised Brain White Matter Tractography

  • Susana Muñoz Maniega
  • Mark E. Bastin
  • Ian J. Deary
  • Joanna M. Wardlaw
  • Jonathan D. Clayden
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 723)

Abstract

Neighbourhood tractography aims to automatically segment equivalent brain white matter tracts from diffusion magnetic resonance imaging (dMRI) data in different subjects by using a “reference tract” as a prior for the shape and length of each tract of interest. In the current work we present a means of improving the technique by using references tracts derived from dMRI data acquired from 80 healthy volunteers aged 25–64 years. The reference tracts were tested on the segmentation of 16 major white matter tracts in 50 healthy older people, aged 71.8 (±0.4) years. We found that data-generated reference tracts improved the automatic white matter tract segmentations compared to results from atlas-generated reference tracts. We also obtained higher percentages of visually acceptable segmented tracts and lower variation in water diffusion parameters using this approach.

Keywords

MRI Brain White matter Unsupervised segmentation Tractography 

Notes

Acknowledgements

LBC1936 was supported by the Age UK-funded Disconnected Mind project, with additional funding from the UK Medical Research Council (MR/M013111/1). MRI scanning for the training dataset was funded under NIH grant R01 EB004155-03. The scanning was performed at the Brain Research Imaging Centre, Edinburgh, part of Edinburgh Imaging (www.ed.ac.uk/clinical-sciences/edinburgh-imaging) and the SINAPSE Collaboration (Scottish Imaging Network, A Platform for Scientific Excellence, www.sinapse.ac.uk).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Susana Muñoz Maniega
    • 1
    • 2
  • Mark E. Bastin
    • 1
    • 2
  • Ian J. Deary
    • 2
    • 3
  • Joanna M. Wardlaw
    • 1
    • 2
  • Jonathan D. Clayden
    • 4
  1. 1.Department of Neuroimaging SciencesUniversity of EdinburghEdinburghUK
  2. 2.Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK
  3. 3.Department of PsychologyUniversity of EdinburghEdinburghUK
  4. 4.UCL Great Ormond Street Institute of Child HealthUniversity College LondonLondonUK

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