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.
