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Abstract #2808

Removing Phase Artifacts Using Fourier Transform Based Field Estimation Can Lead to Significant Improvement in Phase Unwrapping Based SWI Processing

Jaladhar Neelavalli1,2, Yu-Chung Norman Cheng3, Jing Jiang2, Ewart Mark Haacke3

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

Recently an novel method for removing background field effects from SWI phase images was proposed which was based on predicting the air-tissue geometry induced phase and removing its contribution form the collected phase. The resultant images are referred to as Geometry Dependent Artifact Corrected phase images (GDAC phase). In this abstract, results of using GDAC phase versus original phase for the conventional SWI processing steps of, (1) phase unwrapping and (2) subsequent high pass filtering, were compared and it is shown that using GDAC phase improves the results of this conventional SWI processing.