blobness3D: 3D Volume Blobness
In jdwor/vesselr: Gradient and Vesselness Tools for Arrays and NIfTI Images

Description Usage Arguments Value References Examples

This function returns a blobness map for a 3D array or NIfTI volume. This blobness measure is based on the volume ratio described by Pierpaoli and Basser (1996).

1 2	blobness3D(image, mask, radius = 5, color = "dark", parallel = FALSE, cores = 2)

`image`	a 3D array or image of class `nifti`
`mask`	an array or `nifti` mask of voxels for which vesselness will be calculated, with more selective masking improving speed significantly. Note that mask should be in the same space as the image volume
`radius`	an integer specifying radius of the neighborhood (in voxels) for which the blobness should be calculated. Note that this value essentially serves as the scale of the blob objects
`color`	a string specifying whether blobs will appear darker ("dark") or brighter ("bright") than their surroundings
`parallel`	is a logical value that indicates whether the user's computer is Linux or Unix (i.e. macOS), and should run the code in parallel
`cores`	if parallel = TRUE, cores is an integer value that indicates how many cores the function should be run on

A 3D volume of the volume ratio blobness scores.

C. Pierpaoli, P.J. Basser (1996). Toward a Quantitative Assessment of Diffusion Anisotropy. Magnetic Resonance in Medicine. 36, pp. 893-906.

## Not run: 
library(neurobase)
flair <- readnii('path/to/epi')
mask <- flair!=0
brightspots <- blobness3D(image = flair, mask = mask, radius = 5,
                      color = "bright", parallel = TRUE, cores = 4) 
## End(Not run)