Mesh Watershed

Compute the watershed, initially for the extraction of sulcal pits as described in:
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.

Description

During the flooding, the shallowest basin is merged with the deeper one if R inf thr and D inf ThD;
After the end of the flooding, if A inf ThA then merge the basin with its neighbor with which it shares the longest border.

Paramètres

input_mesh: Maillage de la matière blanche d'un hémisphère ( entrée )

DPF_texture: DPF texture ( entrée )

mask_texture: Cingular pole texture ( optional, entrée )

thresh_dist: Réel ( input )

group_average_Fiedler_length: Réel ( input )

thresh_area: Réel ( input )

group_average_surface_area: Réel ( input )

thresh_ridge: Réel ( input )

pits_texture: pits texture ( sortie )

noisypits_texture: noisy pits texture ( sortie )

ridges_texture: ridges texture ( sortie )

basins_texture: basins texture ( sortie )

Informations techniques

Toolbox : Surface corticale

Niveau d'utilisateur : 0

Identifiant : Mesh_watershed

Nom de fichier : brainvisa/toolboxes/cortical_surface/processes/anatomy/tools/Mesh_watershed.py

Supported file formats :

input_mesh :

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

DPF_texture :

GIFTI file, GIFTI file, Texture

mask_texture :

GIFTI file, GIFTI file, Texture

pits_texture :

GIFTI file, GIFTI file, Texture

noisypits_texture :

GIFTI file, GIFTI file, Texture

ridges_texture :

GIFTI file, GIFTI file, Texture

basins_texture :

GIFTI file, GIFTI file, Texture