vols

vols,NeuroVec,numeric-method

vols,NeuroVec,missing-method

This function extracts an ordered series of 3D volumes from an object that supplies volume data.
The <code>indices</code> argument specifies the subset of volumes to extract, and can be a vector
of indices or a logical vector. The return value is a list containing the extracted volumes
in the same order as the specified indices.

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

vols function

<dl><dt>x</dt>
<dd>the object that supplies the volume data.</dd>
<dt>indices</dt>
<dd>the subset of volumes to extract.</dd>
<dt>...</dt>
<dd>additional arguments to be passed to methods.</dd></dl>

Arguments

Extract an ordered series of 3D volumes. — vols

<dl>

<dt>x</dt>
<dd>the object that supplies the volume data.</dd>


<dt>indices</dt>
<dd>the subset of volumes to extract.</dd>


<dt>...</dt>
<dd>additional arguments to be passed to methods.</dd>

</dl>

vols: Extract an ordered series of 3D volumes.

Description

Usage

Value

Arguments

Examples