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Abstract #3857

Background Field Removal Through Infinite Spherical Mean Value Operation

Yan Wen1, 2, Tian Liu1, 3, Yi Wang1, 3

1Department of Radiology, Weill Cornell Medical College, New York, NY, United States; 2Department of Physics and Astronomy , SUNY at Stony Brook, Stony Brook , NY, United States; 3Department of Biomedical Engineering, Cornell University, Ithaca, NY, United States

A background removal procedure removes background fields to isolate local fields, which is essential for susceptibility calculation. A previous method based on spherical mean value (SMV) principle, Sophisticated Harmonic Artifact Reduction on Phase Data (SHARP), has shown promising results but its result depends on the radius of the sphere and requires a subjective selection of truncation threshold for the deconvolution procedure. Here, we present an infinite SMV algorithm to reduce the dependence of radius and eliminates the need of deconvolution.