Group Regions Filtering

Simplifies the group profile with an implementation of watershed algorithm.

Description

Usage example

normed_group_profile:           /my/path/brainvisa_db/subjects/group_analysis/g1/connectivity_clustering/avg/initiation/lh.inferiorparietal/smooth3.0
                                /g1_avg_initiation_lh.inferiorparietal_normed_mean_profile_20to500mm.gii

average_mesh:                   /my/path/freesurfer_db/group_analysis/average_mesh_group/average_brain/averagebrain.white.gii

reduced_group_profile:          /my/path/brainvisa_db/subjects/group_analysis/g1/connectivity_clustering/avg/studyA/lh.inferiorparietal/smooth3.0
                                /g1_avg_studyA_lh.inferiorparietal_watershed_20to500mm.gii

filtered_reduced_group_profile: /my/path/brainvisa_db/subjects/group_analysis/g1/connectivity_clustering/avg/studyA/lh.inferiorparietal/smooth3.0
                                /g1_avg_studyA_lh.inferiorparietal_filtered_watershed_20to500mm.gii

Paramètres

normed_group_profile: Connectivity Profile Texture ( entrée )

Mean normed profile of a group of subjects.

average_mesh: White Mesh ( entrée )

Freesurfer average white mesh of a group of subjects.

reduced_group_profile: Connectivity ROI Texture ( sortie )

Group profile after watershed computing.

filtered_reduced_group_profile: Connectivity ROI Texture ( sortie )

Group profile after watershed computing and elimination of low connectivity basins.

Informations techniques

Toolbox : Constellation

Niveau d'utilisateur : 2

Identifiant : constel_group_regions_filtering

Nom de fichier : brainvisa/toolboxes/constellation/processes/group_pipeline/tools/constel_group_regions_filtering.py

Supported file formats :

normed_group_profile :

GIFTI file, GIFTI file, Texture

average_mesh :

GIFTI file, GIFTI file, Maillage MESH, MNI OBJ mesh, PLY mesh, Maillage TRI

reduced_group_profile :

GIFTI file, GIFTI file, Texture

filtered_reduced_group_profile :

GIFTI file, GIFTI file, Texture