Improved tractography alignment using combined volumetric and surface registration

@article{Zllei2010ImprovedTA,
  title={Improved tractography alignment using combined volumetric and surface registration},
  author={Lilla Z{\"o}llei and Allison Stevens and Kristen Huber and Sita Kakunoori and Bruce Fischl},
  journal={NeuroImage},
  year={2010},
  volume={51 1},
  pages={206-13}
}
Previously we introduced an automated high-dimensional non-linear registration framework, CVS, that combines volumetric and surface-based alignment to achieve robust and accurate correspondence in both cortical and sub-cortical regions (Postelnicu et al., 2009). In this paper we show that using CVS to compute cross-subject alignment from anatomical images, then applying the previously computed alignment to diffusion weighted MRI images, outperforms state-of-the-art techniques for computing… CONTINUE READING