Cortical thickness using deep learning

Perform KellyKapowski cortical thickness using deepAtropos for segmentation. Description concerning implementaiton and evaluation:

corticalThickness(t1, antsxnetCacheDirectory = NULL, verbose = FALSE)

Arguments

t1	input 3-D unprocessed T1-weighted brain image
antsxnetCacheDirectory	destination directory for storing the downloaded template and model weights. Since these can be resused, if is.null(antsxnetCacheDirectory), these data will be downloaded to the subdirectory ~/.keras/ANTsXNet/.
verbose	print progress.

Value

Cortical thickness image and segmentation probability images.

Details

https://www.medrxiv.org/content/10.1101/2020.10.19.20215392v1

Author

Tustison NJ

Examples

if (FALSE) {
library( ANTsRNet )
library( keras )

image <- antsImageRead( "t1w_image.nii.gz" )
kk <- corticalThickness( image )
}