Calculates the neighborhood of 2 registered images, and then does the correlation of each neighbor with itself in the other imaging modality
corr_img( img1, img2, mask = NULL, radius = rep(1, 3), method = c("pearson", "spearman"), verbose = TRUE )
img1 | image of class |
---|---|
img2 | image of class |
mask | Binary image of class |
radius | vector of length 3 for number of voxels to go in each direction.
Default is 27 neighbors (including voxel at center).
Passed to |
method | Type of correlation. |
verbose | print diagnostic messages |
Object of class nifti
if (FALSE) { corr_img("T1_Image.nii.gz", "FLAIR_Image.nii.gz", mask = "Mask.nii.gz") }