gaussian_blur | R Documentation |
This function smooths a volumetric image (3D brain MRI data) by applying an isotropic discrete Gaussian kernel. The blurring is performed within the specified image mask, and the kernel's standard deviation and window size can be customized.
gaussian_blur(vol, mask, sigma = 2, window = 1)
vol |
A |
mask |
An optional |
sigma |
A numeric value specifying the standard deviation of the Gaussian kernel (default is 2). |
window |
An integer specifying the number of voxels around the center voxel to include on each side. For example, window=1 for a 3x3x3 kernel (default is 1). |
A smoothed image of class NeuroVol
.
brain_mask <- read_vol(system.file("extdata", "global_mask.nii", package="neuroim2"))
# Apply Gaussian blurring to the brain volume
blurred_vol <- gaussian_blur(brain_mask, brain_mask, sigma = 2, window = 1)
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