Fast and accurate Slicewise OutLIer Detection (SOLID) with informed model estimation for diffusion MRI data
The accurate characterization of the diffusion process in tissue using diffusion MRI is greatly
challenged by the presence of artefacts. Subject motion causes not only spatial
misalignments between diffusion weighted images, but often also slicewise signal intensity
errors. Voxelwise robust model estimation is commonly used to exclude intensity errors as
outliers. Slicewise outliers, however, become distributed over multiple adjacent slices after
image registration and transformation. This challenges outlier detection with voxelwise …
challenged by the presence of artefacts. Subject motion causes not only spatial
misalignments between diffusion weighted images, but often also slicewise signal intensity
errors. Voxelwise robust model estimation is commonly used to exclude intensity errors as
outliers. Slicewise outliers, however, become distributed over multiple adjacent slices after
image registration and transformation. This challenges outlier detection with voxelwise …
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