weingartenImageCurvature: image curvature for 2D or 3D

In neuroconductor-devel/ANTsR: ANTs in R: Quantification Tools for Biomedical Images

image curvature for 2D or 3D

Description

uses the weingarten map to estimate image mean or gaussian curvature

Usage

weingartenImageCurvature(image, sigma = 1, opt = "mean", labeled = FALSE)

Arguments

image	antsImage
sigma	smoothing parameter
opt	mean by default, otherwise use string gaussian or characterize
labeled	boolean if TRUE then assume image contains labels which denote the surface on which curvature is to be calculated. in this case, the surface should hold integer value 1; the background should be zero; the interior of the surface should be greater than 1 (e.g. 2).

Value

image

Author(s)

Brian B. Avants

References

Avants, B, J. Gee, and B. Avants. Shape operator for differential image analysis Information Processing in Medical Imaging, 2003.

Examples

img <- makeImage(c(10, 10, 10), rnorm(1000))
fik <- weingartenImageCurvature(img)
## Not run: 
fi <- antsImageRead(getANTsRData("mni"))
fik <- weingartenImageCurvature(fi)

## End(Not run)

neuroconductor-devel/ANTsR documentation built on July 3, 2025, 10:41 p.m.