patch_set,NeuroVol,numeric,missing-method

patch_set,NeuroVol,numeric,LogicalNeuroVol-method

This function creates a patch set from a NeuroVol object given specified dimensions
This function creates a patch set from a NeuroVol object given specified dimensions and a mask.

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

patch_set,NeuroVol,numeric,missing-method function

<dl><dt>x</dt>
<dd>a NeuroVol object</dd>
<dt>dims</dt>
<dd>the dimensions of the patch</dd>
<dt>mask</dt>
<dd>the mask defining the valid patch centers</dd>
<dt>...</dt>
<dd>additional args</dd></dl>

Arguments

Create a patch set from a NeuroVol object — patch_set,NeuroVol,numeric,missing-method

<dl>

<dt>x</dt>
<dd>a NeuroVol object</dd>


<dt>dims</dt>
<dd>the dimensions of the patch</dd>


<dt>mask</dt>
<dd>the mask defining the valid patch centers</dd>


<dt>...</dt>
<dd>additional args</dd>

</dl>

patch_set,NeuroVol,numeric,missing-method: Create a patch set from a NeuroVol object

Description

Usage

Value

Arguments