Oleg P. Posnansky1, Yuliya Kupriyanova1, N. Jon Shah1,2
1Institute of Neuroscience and Biophysics 3 - Medicine, Research Centre Juelich, Juelich, Germany; 2Faculty of Medicine, Department of Neurology, RWTH Aachen University, JARA, Aachen, Germany
A calibration method for diffusion weighted imaging using an isotropic phantom is proposed. The key point of the method consists in finding the correction curve and followed by retrospective rescaling of the diffusion weighted signal distributed among the different diffusion encoding directions. The correction protocol was applied to produce improved FA maps which were analyzed with statistical histograms. The results demonstrate that described scheme of systematic error reduction is a valid approach for quality control studies of gradient system performance for diffusion weighted imaging.
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