03. Grid deformation

This step enables to translate the DISCO deformation estimated in 02. Template building into (inverse) displacement field(s) (displacement_field and inv_displacement_field output parameters -Point3Df-) to then easily apply the deformation to volumes (in 04. Volume deformation), to sulci graphs (deformGraph) and to surfaces (DeformMesh) and to estimate final displacement fields toward the common space and from subjectA to subjectB (Create DISCO+DARTEL deformation field toward the common space, Create DISCO+DARTEL deformation field from subjectA to subjectB). This is done in applying the deformation to a homogeneous grid whose accuracy will be increase in decreasing the approx parameter.

To run this step, select the study directory of the experiment.

Parameters

study_dir: DISCO Study Dir ( input )
Select the study directory of the experiment
subjects_hierarchy: Save Subjects Hierarchy DISCO ( input )
grid_init: ListOf( Grid Init DISCO ) ( output )
approx: Integer ( input )
Decrease this value to increase the homogeneous grid accuracy.
associated_t1mri_nobias: ListOf( T1 MRI Bias Corrected ) ( input )
graph_Talairach_transform: ListOf( Transform Graph to Talairach-AC/PC-Anatomist ) ( input )
grid_deformed: ListOf( Grid Deformed DISCO ) ( output )
grid_invdeformed: ListOf( Grid Inv Deformed DISCO ) ( output )
displacement_field: ListOf( FFD Field defData DISCO ) ( output )
inv_displacement_field: ListOf( FFD Field defData Inversed DISCO ) ( output )

Technical information

Toolbox : Disco

User level : 0

Identifier : gridDeform

File name : brainvisa/toolboxes/disco/processes/DISCO_components/gridDeform.py

Supported file formats :

study_dir :
Directory, Directory
subjects_hierarchy :
Text file, Text file
grid_init :
MESH mesh, MESH mesh
associated_t1mri_nobias :
NIFTI-1 image, NIFTI-1 image
graph_Talairach_transform :
Transformation matrix, Transformation matrix
grid_deformed :
MESH mesh, MESH mesh
grid_invdeformed :
MESH mesh, MESH mesh
displacement_field :
GIS image, GIS image
inv_displacement_field :
GIS image, GIS image