Abstract #4388

Lesion & Deep Grey Matter Visualization in Phase Images using a Local Polynomial Filter with Moving Window

Sarah E. Riske¹, Amir Eissa¹, Sandra M. Meyers², Alan H. Wilman¹

¹University of Alberta, Edmonton, Alberta, Canada; ²University of Alberta,, Edmonton, Alberta, Canada

A means to perform phase filtering in susceptibility images is introduced and applied to MS patients for lesion visualization and for deep grey matter. The method is based on local polynomial fitting using a moving window and provides improved lesion and deep grey matter contrast.