Hypothalamus segmentation

Source: R/hypothalamusSegmentation.R

Described here:

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

Arguments

t1

input 3-D 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 inst/extdata/ subfolder of the ANTsRNet package.
verbose

print progress.

Value

hypothalamic subunit segmentation and probability images

  • Label 1: left anterior-inferior

  • Label 2: left anterior-superior

  • Label 3: left posterior

  • Label 4: left tubular inferior

  • Label 5: left tubular superior

  • Label 6: right anterior-inferior

  • Label 7: right anterior-superior

  • Label 8: right posterior

  • Label 9: right tubular inferior

  • Label 10: right tubular superior

Details

\url{https://pubmed.ncbi.nlm.nih.gov/32853816/}

with the implementation available at:

\url{https://github.com/BBillot/hypothalamus_seg}

Author

Tustison NJ

Examples

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

image <- antsImageRead( "t1.nii.gz" )
hypo <- hypothalamusSegmentation( image )
}