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Publication Detail
Evaluation of diffusion MRI based feature sets for the classification of primary motor and somatosensory cortical areas
  • Publication Type:
    Conference presentation
  • Authors:
    Ganepola T, Zhang J, Zhang H, Sereno M, Alexander D
  • Date:
  • Name of Conference:
    International Society for Magnetic Resonance in Medicine (ISMRM) 24th Annual Meeting and Exhibition
  • Conference place:
  • Conference start date:
  • Conference finish date:
In the following work several diffusion based feature vectors (DTI, NODDI, spherical harmonic (SH) invariants and fourth order tensor invariants (T4)) are compared in order to validate their usability in grey matter investigations. It was found that using multi-shell data and non-biophysical models such as SH and T4 achieves the highest classification accuracy between the primary motor and somatosensory cortical areas, and thus is likely to characterise grey matter tissues domains more effectively.
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