Graph Point cloud Label

Description

Split graph vertices according to sub-vertex label classification

(from Léonie Borne's automatic labelings).

Parameters

graph: Any Type ( input )

cortical folds graph

output_graph: Any Type ( output )

output split and relabelled sulci graph

roots: Any Type ( input )

folds skeleton roots regions, from Morphologist pipeline

voxel_labels: Any Type ( input )

voxel-wise CSV data. Row should include "point_x", "point_y", "point_z" for voxels coordinates in Talairach space (they are transformed back into native space during the process), and "after_cutting" for labels.

use_capsul_completion: Boolean ( input )

edit_pipeline: Boolean ( input )

capsul_gui: Boolean ( input )

edit_study_config: Boolean ( input )

Technical information

Toolbox : Morphologist

User level : 2

Identifier : graph_pointcloud_label

File name : brainvisa/toolboxes/morphologist/processes/Sulci/graphmanipulations/graph_pointcloud_label.py

Supported file formats :

graph :

Graph, Graph, Graph and data

output_graph :

Graph, Graph, Graph and data

roots :

PBM image, BMP image, Directory, ECAT i image, ECAT v image, File, GIF image, GIS image, JPEG image, MINC image, MNG image, NIFTI-1 image, PBM image, PGM image, PNG image, PPM image, SPM image, TIFF image, TIFF(.tif) image, VIDA image, XBM image, XPM image, gz compressed MINC image, gz compressed NIFTI-1 image

voxel_labels :

CSV file, CSV file