brainExtraction: Brain extraction

In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing

Brain extraction

Description

Perform T1, FA, or bold brain extraction using a U-net architecture training data. "NoBrainer" is also possible where brain extraction uses U-net and FreeSurfer training data ported from the

Usage

brainExtraction(
  image,
  modality = c("t1", "t1.v0", "t1.v1", "t1nobrainer", "t1combined", "t2", "t2.v0",
    "t2star", "flair", "flair.v0", "bold", "bold.v0", "fa", "fa.v0", "mra", "t1t2infant",
    "t1infant", "t2infant"),
  verbose = FALSE
)

Arguments

image	input 3-D brain image (or list of images for multi-modal scenarios).
modality	image type. Options include: "t1": T1-weighted MRI—ANTs-trained. Previous versions are specified as "t1.v0", "t1.v1". "t1nobrainer": T1-weighted MRI—FreeSurfer-trained: h/t Satra Ghosh and Jakub Kaczmarzyk. "t1combined": Brian's combination of "t1" and "t1nobrainer". One can also specify "t1combinedX" where X is the morphological radius. X = 12 by default. "flair": FLAIR MRI. "t2": T2-w MRI. "bold": 3-D mean BOLD MRI. "fa": Fractional anisotropy. "t1t2infant": Combined T1-w/T2-w infant MRI h/t Martin Styner. "t1infant": T1-w infant MRI h/t Martin Styner. "t2infant": T2-w infant MRI h/t Martin Styner.
verbose	print progress.

Details

https://github.com/neuronets/nobrainer-models

Value

brain probability mask (ANTsR image)

Author(s)

Tustison NJ

Examples

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

image <- antsImageRead( "t1w_image.nii.gz" )
probabilityMask <- brainExtraction( image, modality = "t1" )

## End(Not run)

ANTsX/ANTsRNet documentation built on Nov. 21, 2024, 4:07 a.m.