NeuroBucket-class

a four-dimensional image that consists of a sequence of labeled image volumes backed by a list

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

NeuroBucket-class function

<dl>
<dt><code>labels</code></dt>
<dd>the names of the sub-volumes contained in the bucket</dd></dl>
<dt><code>data</code></dt>
<dd>a list of <code>NeuroVol</code> instances with names corresponding to volume labels</dd>

Slots

NeuroBucket — NeuroBucket-class

<dl>
<dt><code>labels</code></dt>
<dd>the names of the sub-volumes contained in the bucket</dd>


<dt><code>data</code></dt>
<dd>a list of <code>NeuroVol</code> instances with names corresponding to volume labels</dd>


</dl>

NeuroBucket-class: NeuroBucket

Description

Arguments

Slots