Probabilistic ODF Estimation from Reduced HARDI Data with Sparse Regularization

@article{TristnVega2011ProbabilisticOE,
  title={Probabilistic ODF Estimation from Reduced HARDI Data with Sparse Regularization},
  author={Antonio Trist{\'a}n-Vega and Carl-Fredrik Westin},
  journal={Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year={2011},
  volume={14 Pt 2},
  pages={182-90}
}
High Angular Resolution Diffusion Imaging (HARDI) demands a higher amount of data measurements compared to Diffusion Tensor Imaging (DTI), restricting its use in practice. We propose to represent the probabilistic Orientation Distribution Function (ODF) in the frame of Spherical Wavelets (SW), where it is highly sparse. From a reduced subset of measurements (nearly four times less than the standard for HARDI), we pose the estimation as an inverse problem with sparsity regularization. This… CONTINUE READING

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