ROICoords-class

A class representing a region of interest (ROI) in a brain image, defined by a set of coordinates. This class stores the geometric space of the image and the coordinates of the voxels within the ROI.

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

ROICoords-class function

<dl>
<dt><code>space</code></dt>
<dd>An instance of class <code>NeuroSpace</code> representing the geometric space of the image data.</dd></dl>
<dt><code>coords</code></dt>
<dd>A <code>matrix</code> containing the coordinates of the voxels within the ROI.
Each row represents a coordinate as, e.g. (i, j, k).</dd>

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ROICoords — ROICoords-class

<dl>
<dt><code>space</code></dt>
<dd>An instance of class <code>NeuroSpace</code> representing the geometric space of the image data.</dd>


<dt><code>coords</code></dt>
<dd>A <code>matrix</code> containing the coordinates of the voxels within the ROI.
Each row represents a coordinate as, e.g. (i, j, k).</dd>


</dl>

ROICoords-class: ROICoords

Description

Arguments

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