An ex vivo imaging pipeline for producing high-quality and high-resolution diffusion-weighted imaging datasets.

@article{Dyrby2011AnEV,
  title={An ex vivo imaging pipeline for producing high-quality and high-resolution diffusion-weighted imaging datasets.},
  author={Tim B. Dyrby and William F. C. Baar{\'e} and Daniel C. Alexander and Jacob Jelsing and Ellen Garde and Lise V. S\ogaard},
  journal={Human brain mapping},
  year={2011},
  volume={32 4},
  pages={544-63}
}
Diffusion tensor (DT) imaging and related multifiber reconstruction algorithms allow the study of in vivo microstructure and, by means of tractography, structural connectivity. Although reconstruction algorithms are promising imaging tools, high-quality diffusion-weighted imaging (DWI) datasets for verification and validation of postprocessing and analysis methods are lacking. Clinical in vivo DWI is limited by, for example, physiological noise and low signal-to-noise ratio. Here, we performed… CONTINUE READING

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