vol2spde: Construct a triangular mesh from a 3D volumetric mask

In mandymejia/BayesGLMfMRI: Spatial Bayesian Methods for Task Functional MRI Studies

Construct a triangular mesh from a 3D volumetric mask

Description

Construct a triangular mesh from a 3D volumetric mask

Usage

vol2spde(mask, res, nbhd_order = 1, buffer = c(1, 1, 3, 4, 4))

Arguments

mask	An array of 0s and 1s representing a volumetric mask
res	The spatial resolution in each direction, in mm. For example, c(2,2,2) indicates 2mm isotropic voxels.
nbhd_order	For volumetric data, what order neighborhood around data locations to keep? (0 = no neighbors, 1 = 1st-order neighbors, 2 = 1st- and 2nd-order neighbors, etc.). Smaller values will provide greater computational efficiency at the cost of higher variance around the edge of the data.
buffer	For volumetric data, size of extra voxels layers around the bounding box, in terms of voxels. Set to NULL for no buffer.

Value

An inla.spde2 object.

INLA Requirement

This function requires the INLA package, which is not a CRAN package. See https://www.r-inla.org/download-install for easy installation instructions.

mandymejia/BayesGLMfMRI documentation built on April 12, 2025, 3:41 p.m.