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Abstract #0467

Removing Background Phase Variations in Susceptibility Weighted Imaging Using a Fast, Forward-Field Calculation

Jaladhar Neelavalli1, Yu-Chung Norman Cheng2, Jing Jiang3, Ewart Mark Haacke2

1Biomedical Engineering, Wayne State University, Detroit, MI, USA; 2Academic Radiology, Wayne State University, Detroit, MI, USA; 3The MRI Institute for Biomedical Engineering, Detroit, MI, USA

We present here a novel method for removing background field effects from SWI phase images. The method involves predicting the air-tissue interface geometry induced field deviation and, from it the phase, and removing its contribution form the collected SWI phase data. The resultant images are referred to as Geometry Dependent Artifact Corrected phase images (GDAC phase) which lead to significant improvement in the processed susceptibility weighted magnitude images.