space-methods: Extract Geometric Properties of an Image

In bbuchsbaum/neuroim2: Data Structures and IO for Neuroimaging Data with an Emphasis on Functional Magnetic Resonance Imaging (FMRI)

Extract Geometric Properties of an Image

Description

This function retrieves the geometric properties of a given image, such as dimensions and voxel size.

Retrieves the NeuroSpace object associated with an IndexLookupVol object.

Usage

space(x, ...)

## S4 method for signature 'IndexLookupVol'
space(x)

## S4 method for signature 'ROICoords'
space(x)

## S4 method for signature 'NeuroObj'
space(x)

## S4 method for signature 'NeuroSpace'
space(x)

Arguments

x	An IndexLookupVol object
...	Additional arguments, if needed.

Value

An object representing the geometric space of the image, of type NeuroSpace.

A NeuroSpace object

Examples

# Create a NeuroSpace object with dimensions (10, 10, 10) and voxel size (1, 1, 1)
x <- NeuroSpace(c(10, 10, 10), c(1, 1, 1))

# Create a NeuroVol object with random data and the specified NeuroSpace
vol <- NeuroVol(rnorm(10 * 10 * 10), x)

# Retrieve the geometric properties of the NeuroVol object
identical(x, space(vol))

## Not run: 
ilv <- IndexLookupVol(space, c(1:100))
space(ilv)  # Get the associated NeuroSpace object

## End(Not run)

bbuchsbaum/neuroim2 documentation built on Jan. 2, 2025, 3:38 p.m.