Nico Dario Papinutto1, Jorge Jovicich1
1Center for Mind/Brain Sciences,
The
accuracy and precision of a Diffusion tensor imaging (DTI) acquisition of
in-vivo human brains depends on both the acquisition protocol and
post-processing used for data analysis. In many cases multiple acquisitions
from the same session are averaged to increase signal-to-noise ratio and
reduce sensitivity to motion during the acquisition. The complexity of DTI
datasets allows for several processing paths to complete eddy current
correction, co-registration, averaging and tensor fitting. Here we assess the
sensitivity of fractional anisotropy (FA) test-retest reproducibility to
different methods for merging multiple within-subject DTI acquisitions.