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Showing 1 to 2 of 2 for “"spatial regularization"”.

  1. fMRI detection with spatial regularization

    … models and apply a Markov Random Field (MRF) spatial prior to the statistics provided by the voxel-by-voxel algorithms. MRF has been shown to be able to overcome the effect of over-smoothing, which is the major drawback of the conventional spatial regularization models such as the Gaussian …

    mit Repository record for fMRI detection with spatial regularization (opens in a new tab)

  2. Spectral estimation with spatio-spectral constraints for magnetic resonance spectroscopic imaging

    … problem by incorporating both spectral and spatial prior information. Specifically, we jointly estimate the spectra over all the voxels of interest, incorporating prior spatial information in a regularization framework. The effectiveness of the proposed method has been evaluated using both …

    uiuc Repository record for Spectral estimation with spatio-spectral constraints for magnetic resonance spectroscopic imaging (opens in a new tab)