vertex.euclid.dist

Compute Euclidean distance between two vertices v1 and v2.

Provides functions to read and write neuroimaging data in various file formats, with a focus on 'FreeSurfer' <http://freesurfer.net/> formats. This includes, but is not limited to, the following file formats: 1) MGH/MGZ 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

vertex.euclid.dist function

<dl><dt>surface</dt>
<dd>an fs.surface instance</dd>
<dt>v1</dt>
<dd>positive integer, vertex index of v1</dd>
<dt>v2</dt>
<dd>positive integer, vertex index of v2</dd></dl>

Arguments

Compute Euclidean distance between two vertices v1 and v2. — vertex.euclid.dist

<dl>

<dt>surface</dt>
<dd>an fs.surface instance</dd>


<dt>v1</dt>
<dd>positive integer, vertex index of v1</dd>


<dt>v2</dt>
<dd>positive integer, vertex index of v2</dd>

</dl>

vertex.euclid.dist: Compute Euclidean distance between two vertices v1 and v2.

Description

Usage

Value

Arguments

See Also