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.