Abstract #3967

Cluster based analysis of fMRE data: computing heterogeneous regions of visual activation through correlation analysis.

Reihaneh Forouhandehpour¹, Carlos Daniel Girard², Guillaume Gilbert³, Kevin Whittingstall¹, and Elijah Van Houten⁴

¹Department of Nuclear medicine and Radiobiology, University of Sherbrooke, Sherbrooke, QC, Canada, ²ESEO (École Supérieure d'Électronique de l'Ouest), ANGERS, France, ³MR Clinical Science, Philips Healthcare, Markham, ON, Canada, ⁴Department of Mechanical Engineering, University of Sherbrooke, Sherbrooke, QC, Canada

A method for more completely assessing the regions of activation in functional Magnetic Resonance Elastography is presented. This method allows the full size of the regions of activation to be estimated and also provides information on the region substructure. Results are presented in conjunction with Time of Flight cerebrovascular data, showing the relationship between arterial dilation, viscoelastic changes, and region substructure. This method has excellent potential to expand our understanding of mechanical and structural changes in the active brain.

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