corticalThickness: Cortical thickness using deep learning

In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing

Cortical thickness using deep learning

Description

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

Usage

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.

Details

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

Value

Cortical thickness image and segmentation probability images.

Author(s)

Tustison NJ

Examples

## Not run: 
library( ANTsRNet )
library( keras )

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

## End(Not run)

ANTsX/ANTsRNet documentation built on April 23, 2024, 1:24 p.m.