2017 Winter Project Week/DWI Similarity Metrics

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  Projects List

Key Investigators

• Laurent Chauvin, ETS Montreal
• Matthew Toews, 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