claustrumSegmentation: Claustrum segmentation

In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing

Claustrum segmentation

Description

Described here:

Usage

claustrumSegmentation(
  t1,
  doPreprocessing = TRUE,
  useEnsemble = TRUE,
  antsxnetCacheDirectory = NULL,
  verbose = FALSE
)

Arguments

t1	input 3-D T1-weighted brain image.
doPreprocessing	perform n4 bias correction, denoising?
useEnsemble	boolean to check whether to use all 3 sets of weights.
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 inst/extdata/ subfolder of the ANTsRNet package.
verbose	print progress.

Details

\url{https://pubmed.ncbi.nlm.nih.gov/34520080/}

with the implementation available at:

\url{https://github.com/hongweilibran/claustrum_multi_view}

Value

claustrum probability image

Author(s)

Tustison NJ

Examples

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

image <- antsImageRead( "t1.nii.gz" )
probabilityMask <- claustrumSegmentation( image )

## End(Not run)

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