Ravel intensity normalization using control voxels and clinical covariates.
image_normalization_ravel(
masked.paths,
csf.paths,
ravel.paths,
demographics,
brain.mask,
patients.folder,
modality = "T1"
)RAVEL-corrected images are saved in disk.
list or vector of paths of the preprocessed input NIfTI images to be normalized.
NIfTI image paths for the binary control region masks.
list or vector of paths of the output NIfTI images.
table of covariates associated to the MRI scans. Number of rows should be equal to the number of images.
NIfTI image path for the binary brain mask. Must have value 1 for the brain tissue and 0 otherwise.
folder to save the output control mask.
string describing the modality to perform the normalization. It should be one of T1, T2 or FLAIR.
David Payares
Jean-Philippe Fortin, Elizabeth M Sweeney, John Muschelli, Ciprian M Crainiceanu, Russell T Shinohara, Alzheimer’s Disease Neuroimaging Initiative, et al. Removing inter-subject technical variability in magnetic resonance imaging studies. NeuroImage, 132:198–212, 2016.