Abstract #1712
Image quality improvement using short range finite difference in QSM reconstruction
Maximilian Maerz 1 , Dong Zhou 2 , Yan Zhang 2,3 , Pascal Spincemaille 2 , Lars Ruthotto 1 , and Yi Wang 2
1
Department of Mathematics and Computer
Science, Emory University, Atlanta, GA, United States,
2
Weill
Cornell Medical College, New York, NY, United States,
3
Department
of Radiology, Tongji Hospital, Huazhong University of
Science and Technology, Wuhan, Hubei, United States
Gradient is an essential operation in the reconstruction
of quantitative susceptibility mapping (QSM). There are
central difference and short difference implementation
for gradient. We found that different finite difference
methods strongly affect image quality in data sets
acquired with low resolution (greater than 1mm). Checker
board pattern artifacts appeared in the central
difference implementation and were effectively
suppressed with the short difference implementation.
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