Improving DTI Resolution from a Single Clinical Acquisition: A Statistical Approach Using Spatial Prior

@article{Gupta2013ImprovingDR,
  title={Improving DTI Resolution from a Single Clinical Acquisition: A Statistical Approach Using Spatial Prior},
  author={Vikash Gupta and Nicholas Ayache and Xavier Pennec},
  journal={Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year={2013},
  volume={16 Pt 3},
  pages={
          477-84
        }
}
Diffusion Tensor Imaging (DTI) provides us with valuable information about the white matter fibers and their arrangement in the brain. However, clinical DTI acquisitions are often low resolution, causing partial volume effects. In this paper, we propose a new high resolution tensor estimation method. This method makes use of the spatial correlation between neighboring voxels. Unlike some super-resolution algorithms, the proposed method does not require multiple acquisitions, thus it is better… CONTINUE READING

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