A Gaussian Process based method for detecting and correcting dropout in diffusion imaging.
Jesper Andersson 1 and Stamatios N Sotiropoulos 1
FMRIB-Centre, Oxford, Oxfordshire, United
A very sensitive method for detecting and correcting
signal dropout in diffusion images has been developed.
It is incorporated into a framework for simultaneous
correction of all off-resonance distortions and subject
movement. When an outlier is detected it is replaced by
its predicted value based on a Gaussian Process.
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