transform.matrix.row.lines

The transformation file formats store the matrix as text, and the values are written with enough
significant digits so that reading the file back gives the exact same double values. Fewer digits are not
enough: 15 digits, as used by some other tools, lose up to a few units in the last place of a double.

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.matrix.row.lines function

<dl><dt>matrix</dt>
<dd>numerical matrix, the matrix to format.</dd></dl>

Arguments

Format the rows of a transformation matrix for a text file. — transform.matrix.row.lines

<dl>

<dt>matrix</dt>
<dd>numerical matrix, the matrix to format.</dd>

</dl>

transform.matrix.row.lines: Format the rows of a transformation matrix for a text file.

Description

Usage

Value

Arguments