Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: Application to normal elderly and Alzheimer's disease participants

@article{Oishi2009AtlasbasedWB,
  title={Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: Application to normal elderly and Alzheimer's disease participants},
  author={Kenichi Oishi and Andreia Faria and Hangyi Jiang and Xin Li and Kazi Akhter and Jiangyang Zhang and Johnny T. C. Hsu and Michael I. Miller and Peter C. M. van Zijl and Marilyn S. Albert and Constantine Lyketsos and Roger P. Woods and Arthur W. Toga and G. Bruce Pike and Pedro Rosa-Neto and Alan C. Evans and John C. Mazziotta and Susumu Mori},
  journal={NeuroImage},
  year={2009},
  volume={46 2},
  pages={486-99}
}
The purpose of this paper is to establish single-participant white matter atlases based on diffusion tensor imaging. As one of the applications of the atlas, automated brain segmentation was performed and the accuracy was measured using Large Deformation Diffeomorphic Metric Mapping (LDDMM). High-quality diffusion tensor imaging (DTI) data from a single-participant were B0-distortion-corrected and transformed to the ICBM-152 atlas or to Talairach coordinates. The deep white matter structures… CONTINUE READING
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