Abstract #4241

Improved Field-Map Estimation and Deblurring for MAVRIC-SL

Brady Quist^1,2, Xinwei Shi^1,2, Hans Weber¹, and Brian A Hargreaves^1,2

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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