View source for 2017 Winter Project Week/DWI Similarity Metrics

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Image:PW-Winter2017.png|link=2017_Winter_Project_Week#Projects|[[2017_Winter_Project_Week#Projects|Projects List]]
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==Key Investigators==
* Laurent Chauvin, ETS Montreal
* Fan Zhang, BWH
* Lauren O'Donnell, BWH
* Matthew Toews, ETS Montreal

==Project Description==
{| class="wikitable"
! style="text-align: left; width:27%" |   Objective
! style="text-align: left; width:27%" |   Approach and Plan
! style="text-align: left; width:27%" |   Progress and Next Steps
|- style="vertical-align:top;"
|
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* Investigate possible metrics for identification of information-rich patches in DWI data
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* 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

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*
|}

==Background and References==
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