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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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