Ivan I. Maximov1, Ezequiel A. Farrher1,
Farida Grinberg1, Nadim Jon Shah1,2
1Institute of Neuroscience
& Medicine 4, Forschungszentrum Juelich, Juelich, Germany; 2Department
of Neurology, Faculty of Medicine, JARA, RWTH Aachen University, Aachen,
Germany
We propose a new algorithm for noise correction in DTI experiments based on the hypothesis of spatially-variable noise fields. Application of the robust estimator followed by Rician correction of the initially assumed Gaussian standard deviation allows us to produce a more stable and precise scheme for the noise evaluation at arbitrary signal-to-noise ratio levels.