2017 Winter Project Week/DWI Similarity Metrics

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Home < 2017 Winter Project Week < DWI Similarity Metrics

Key Investigators

  • Laurent Chauvin, PhD Student, ETS Montreal
  • Matthew Toews, Professor, ETS Montreal

Project Description

Objective Approach and Plan Progress and Next Steps
  • Investigate possible metrics for identification of information-rich patches in DWI data
  • Discuss about DWI data structure and acquisition protocol to have a better understanding of the information available in DWI datasets (e.g. single shell / multi shell, gradient orientations, b-values)
  • Identify possible metrics available to measure similarity (e.g. Mutual Information, Correlation) between datasets
  • Investigate the potential of CNN for this type of application

Background and References