FileFormat-operations

A collection of methods for handling neuroimaging file formats with separate header
and data files (e.g., ANALYZE, NIFTI). These methods provide functionality for
file name validation, extension handling, and file path manipulation.

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

FileFormat-operations function

Neuroimaging formats often use paired files:<ul>
<li>A header file (e.g., '.hdr') containing metadata</li>
<li>A data file (e.g., '.img') containing the actual image data</li>
</ul>

File Format Structure

<ul>
<li>Validating file names against format specifications</li>
<li>Converting between header and data file names</li>
<li>Checking file existence and compatibility</li>
</ul>

Common Operations

File Format Operations for Neuroimaging Data — FileFormat-operations

Neuroimaging formats often use paired files:<ul>
<li>A header file (e.g., '.hdr') containing metadata</li>
<li>A data file (e.g., '.img') containing the actual image data</li>
</ul>

<ul>
<li>Validating file names against format specifications</li>
<li>Converting between header and data file names</li>
<li>Checking file existence and compatibility</li>
</ul>

FileFormat-operations: File Format Operations for Neuroimaging Data

Description

Arguments

File Format Structure

Common Operations