NeuroVol

The <code>NeuroVol</code> class encapsulates 3D volumetric neuroimaging data. It provides methods
for accessing slices, performing spatial transformations, and integrating with the spatial
reference provided by <code>NeuroSpace</code>.

A collection of data structures and methods for handling volumetric
brain imaging data, with a focus on functional magnetic resonance imaging (fMRI). Provides efficient
representations for three-dimensional and four-dimensional neuroimaging data through sparse and dense array
implementations, memory-mapped file access for large datasets, and
spatial transformation capabilities. Implements methods for image resampling,
spatial filtering, region of interest analysis, and connected component labeling. General introduction
to fMRI analysis can be found in Poldrack et al. (2024, "Handbook of functional MRI data analysis",
<ISBN:9781108795760>).

Bradley Buchsbaum

neuroim2

Data Structures for Brain Imaging Data

NeuroVol function

<dl><dt>data</dt>
<dd>A 3D array containing the volumetric data.</dd>
<dt>space</dt>
<dd>An object of class <code>NeuroSpace</code> defining the spatial properties.</dd>
<dt>label</dt>
<dd>A character string providing a label for the volume (default: "").</dd>
<dt>indices</dt>
<dd>An optional vector of indices for sparse representation (default: NULL).</dd></dl>

Arguments

NeuroVol: 3D Neuroimaging Volume Class — NeuroVol

<dl>

<dt>data</dt>
<dd>A 3D array containing the volumetric data.</dd>


<dt>space</dt>
<dd>An object of class <code>NeuroSpace</code> defining the spatial properties.</dd>


<dt>label</dt>
<dd>A character string providing a label for the volume (default: "").</dd>


<dt>indices</dt>
<dd>An optional vector of indices for sparse representation (default: NULL).</dd>

</dl>

NeuroVol: NeuroVol: 3D Neuroimaging Volume Class

Description

Usage

Value

Arguments

Examples