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Abstract #4241

Improved Field-Map Estimation and Deblurring for MAVRIC-SL

Brady Quist1,2, Xinwei Shi1,2, Hans Weber1, and Brian A Hargreaves1,2

1Department of Radiology, Stanford University School of Medicine, Stanford, CA, United States, 2Department of Electrical Engineering, Stanford University, Stanford, CA, United States

In order to image in the large B0 field inhomogeneity near metallic implants, multi-spectral imaging sequences, such as MAVRIC-SL, acquire images at multiple spectral bins to reduce distortion while imaging the entire anatomy. However, blurring is introduced when these overlapping bins are combined. While a deblurring method, which uses a field-map estimated from the bin images, does exist, the resulting images are subject to increased noise and distortion. Here we propose both a better field-map estimation method along with an improved deblurring algorithm, both of which are less sensitive to noise and help provide excellent deblurring without distortion.

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