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Abstract #3999

A Method for Gradient Calibration in Diffusion Weighted Imaging

Oleg Posnansky1, Yuliya Kupriyanova2, N. J. Shah1,3

1Medical Imaging Physics, Institute of Neuroscience and Medicine - 4 , Forschungzentrum Juelich, Juelich, Germany; 2Medical Imaging Physics, Institute of Neuroscience and Medicine - 4, Forschungzentrum Juelich, Juelich, Germany; 3Department of Neurology, Faculty of Medicine,RWTH Aachen University, Aachen, Germany

A calibration method for diffusion-weighted imaging using a homogeneous water phantom is proposed. The key point of the method consists in finding optimised balancing times for different orientations of diffusion-encoding gradients followed by retrospective rescaling of the diffusion-weighted images. The correction protocol was applied to produce improved fractional anisotropy maps. The results demonstrate that the described scheme of systematic error reduction is a valid approach for quality control studies of gradient system performance for diffusion-weighted imaging.