NeuroObj-class

Base class for all neuroimaging data objects with a Cartesian spatial representation.
This class provides a foundation for more specific neuroimaging data structures.

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

NeuroObj-class function

<dl>
<dt><code>space</code></dt>
<dd>An object of class <code>NeuroSpace</code> representing the geometry of the image object.</dd></dl>

Slots

NeuroObj Class — NeuroObj-class

<dl>
<dt><code>space</code></dt>
<dd>An object of class <code>NeuroSpace</code> representing the geometry of the image object.</dd>


</dl>

NeuroObj-class: NeuroObj Class

Description

Arguments

Slots

See Also