Graph Point cloud Label

Description

Split graph vertices according to sub-vertex label classification

(from Léonie Borne's automatic labelings).

Paramètres

graph: Any Type ( entrée )

cortical folds graph

output_graph: Any Type ( sortie )

output split and relabelled sulci graph

roots: Any Type ( entrée )

folds skeleton roots regions, from Morphologist pipeline

voxel_labels: Any Type ( entrée )

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: Booléen ( input )

edit_pipeline: Booléen ( input )

capsul_gui: Booléen ( input )

edit_study_config: Booléen ( input )

Informations techniques

Toolbox : Morphologist

Niveau d'utilisateur : 2

Identifiant : graph_pointcloud_label

Nom de fichier : 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 :

Répertoire, BMP image, Répertoire, ECAT i image, ECAT v image, Fichier, 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