Abstract #4863
Measurement and Correction of Gradient Nonlinearity by Spherical Harmonic Fitting using the ADNI Phantom
Shengzhen Tao 1 , Joshua D. Trzasko 1 , Jeffrey L. Gunter 1 , Seung-Kyun Lee 2 , Ek T. Tan 2 , Yunhong Shu 1 , Kaely B. Thostenson 1 , and Matt A. Bernstein 1
1
Mayo Clinic, Rochester, MN, United States,
2
GE
Global Research, Niskayuna, NY, United States
Standard strategies to correct image distortion due to
gradient non-linearity are based on a parameterization
of the gradient field. The correction coefficients are
predetermined and the same set of coefficients is
applied to all systems in the field. In this work, we
develop a simple method to measure and fit the gradient
correction on a per-system basis using the Alzheimers
Disease Neuroimaging Initiative phantom. A 3D spherical
harmonic approximation of the distortion is determined
and used for correction. The proposed method does not
require detailed knowledge of gradient system and can be
used in a variety of settings.
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