Group Watershed

Computes the clusters of sulcal pit from the pits density map. These clusters can be used to define a labeling of sulcal pits that is common to the subjects involved in the analysis. For details, see:
Auzias, G, Brun, L, Deruelle, C, Coulon, O, Deep sulcal landmarks: algorithmic and conceptual improvements in the definition and extraction of sulcal pits, NeuroImage, 2015.

Parameters

template_mesh: Mesh ( input )

density_texture: Texture ( input )

mask_texture: Cingular pole texture ( optional, input )

thresh_dist: Float ( input )

thresh_area: Float ( input )

thresh_ridge: Float ( input )

basins_texture: Texture ( output )

Technical information

Toolbox : Cortical Surface

User level : 0

Identifier : Group_watershed

File name : brainvisa/toolboxes/cortical_surface/processes/anatomy/group/Group_watershed.py

Supported file formats :

template_mesh :

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

density_texture :

GIFTI file, GIFTI file, Texture

mask_texture :

GIFTI file, GIFTI file, Texture

basins_texture :

GIFTI file, GIFTI file, Texture