Multi-Contrast Multi-Atlas Parcellation of Diffusion Tensor Imaging of the Human Brain

@inproceedings{Tang2014MultiContrastMP,
  title={Multi-Contrast Multi-Atlas Parcellation of Diffusion Tensor Imaging of the Human Brain},
  author={Xiaoying Tang and Shoko Yoshida and John Hsu and Thierry A. G. M. Huisman and A V Faria and Kenichi Oishi and Kwame S. Kutten and A Poretti and Yue Li and Michael I. Miller and Susumu Mori},
  booktitle={PloS one},
  year={2014}
}
In this paper, we propose a novel method for parcellating the human brain into 193 anatomical structures based on diffusion tensor images (DTIs). This was accomplished in the setting of multi-contrast diffeomorphic likelihood fusion using multiple DTI atlases. DTI images are modeled as high dimensional fields, with each voxel exhibiting a vector valued feature comprising of mean diffusivity (MD), fractional anisotropy (FA), and fiber angle. For each structure, the probability distribution of… CONTINUE READING
Highly Cited
This paper has 24 citations. REVIEW CITATIONS
14 Citations
80 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 14 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 80 references

Quantitative analysis of brain pathology based on MRI and brain atlases — applications for cerebral palsy

  • C Ceritoglu, X Tang, M Chow, D Hadjiabadi, D Shah
  • Neuroimage
  • 2013

Segmentation via multi-atlas LDDMM

  • X Tang, S Mori, MI Miller
  • In Landman BA, Warfield SK, editors. MICCAI…
  • 2012
1 Excerpt

Similar Papers

Loading similar papers…