ROIVol

Creates an <code>ROIVol</code> object representing a set of values
at specific 3D coordinates within a spatial reference system.

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

ROIVol function

<dl><dt>space</dt>
<dd>A <code>NeuroSpace</code> object defining the spatial reference</dd>
<dt>coords</dt>
<dd>A matrix with 3 columns representing (x,y,z) coordinates</dd>
<dt>data</dt>
<dd>A numeric vector of values corresponding to each coordinate</dd></dl>

Arguments

Create ROI Volume Object — ROIVol

<dl>

<dt>space</dt>
<dd>A <code>NeuroSpace</code> object defining the spatial reference</dd>


<dt>coords</dt>
<dd>A matrix with 3 columns representing (x,y,z) coordinates</dd>


<dt>data</dt>
<dd>A numeric vector of values corresponding to each coordinate</dd>

</dl>

ROIVol: Create ROI Volume Object

Description

Usage

Value

Arguments

Details

Examples