transform.bbox

Returns the axis-aligned bounding box of the transformed box.
For a linear transformation the extremes of the image of a box are attained
at its corners, so transforming the 8 corners gives the exact bounding box
of the transformed data.

internal

Provides functions to read and write neuroimaging data in various file formats, with a focus on 'FreeSurfer' formats. This includes, but is not limited to, the following file formats: 1) MGH/MGZ/NIFTI format files, which can contain multi-dimensional images or other data. Typically they contain time-series of three-dimensional brain scans acquired by magnetic resonance imaging (MRI). They can also contain vertex-wise measures of surface morphometry data. The MGH format is named after the Massachusetts General Hospital, and the MGZ format is a compressed version of the same format. 2) 'FreeSurfer' morphometry data files in binary 'curv' format. These contain vertex-wise surface measures, i.e., one scalar value for each vertex of a brain surface mesh. These are typically values like the cortical thickness or brain surface area at each vertex. 3) Annotation file format. This contains a brain surface parcellation derived from a cortical atlas. 4) Surface file format. Contains a brain surface mesh, given by a list of vertices and a list of faces.

Tim Schc3<a4>fer

freesurferformats

Read and Write 'FreeSurfer' Neuroimaging File Formats

Tim Schäfer

Van Essen Lab 

Montreal Neurological Institute (MNI) 

transform.bbox function

<dl><dt>bbox</dt>
<dd>numeric vector of length 6,
<code>c(xmin, xmax, ymin, ymax, zmin, zmax)</code>.</dd>
<dt>affine</dt>
<dd>4x4 numeric matrix.</dd></dl>

Arguments

Transform a bounding box with an affine. — transform.bbox

<dl>

<dt>bbox</dt>
<dd>numeric vector of length 6,
<code>c(xmin, xmax, ymin, ymax, zmin, zmax)</code>.</dd>


<dt>affine</dt>
<dd>4x4 numeric matrix.</dd>

</dl>

transform.bbox: Transform a bounding box with an affine.

Description

Usage

Value

Arguments