Pits Texture Smoothing

Smooth the sulcal pits texture while maintaining the peak value at 1. The resulting smoothed pits texture can be used to compute the group density map using the dedicated process. 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

pits_texture: pits texture ( input )

white_mesh: Hemisphere White Mesh ( input )

dt: Float ( input )

nb_iterations: Integer ( input )

smoothed_pits_texture: smooth pits texture ( output )

Technical information

Toolbox : Cortical Surface

User level : 0

Identifier : PitsTextureSmoothing

File name : brainvisa/toolboxes/cortical_surface/processes/anatomy/tools/PitsTextureSmoothing.py

Supported file formats :

pits_texture :

GIFTI file, GIFTI file, Texture

white_mesh :

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

smoothed_pits_texture :

GIFTI file, GIFTI file, Texture