04. DARTEL Images Inverse Warping

This step enables to apply the inverse DARTEL deformation.

1. Choose the type of registration with input parameter study_type (After DISCO or Native)

2. Select the type of data to be deformed (data_type)

3. Select the study directory of the experiment (study_dir)

4. Enter the name of the template given in 02. DARTEL Template Creation

5. If data_type is Other, the data to be deformed (data_in) has to be related to one subject involved in the DARTEL registration. Enter manually the data to be deformed (data_in) and the output (data_out).

6. Choose the destination subject space in choosing the destination subject (dest_nobias). Please note that if the mode_component is false (default parameter), nobias deformed by DARTEL are required.

The interm_isotropic_resolution and interm_dimension parameters correspond to final_isotropic_resolution and intermediate_dimension parameters fixed in 01. Prepare grey and white maps for DARTEL. The crop_inv_trm transformation corresponds to the one saved in 01. Prepare grey and white maps for DARTEL.

Parameters

study_type: Choice ( input )

Type of the study (Native or AfterDISCO)

data_type: Choice ( input )

mode_component: Boolean ( input )

template_dir: DARTEL Template Dir ( input )

Directory of the DARTEL experiment

data_in: Atlas DISCO DARTEL ( input )

dest_nobias: ListOf( T1 MRI Bias Corrected DISCO ) ( input )

To define destination space

interp: Choice ( input )

voxels values resampling

subjects_hierarchy_DARTEL: Save Subjects Hierarchy DARTEL ( input )

flow_field: ListOf( Flow Field DISCO DARTEL ) ( input )

compo_To_Tal: ListOf( Compo To Resample To Talairach ) ( input )

data_out: ListOf( Atlas Inversed DISCO DARTEL ) ( output )

Technical information

Toolbox : Disco

User level : 1

Identifier : DartelInverseWarping

File name : brainvisa/toolboxes/disco/processes/DARTEL_components/DartelInverseWarping.py

Supported file formats :

template_dir :

Directory, Directory

data_in :

NIFTI-1 image, NIFTI-1 image

dest_nobias :

NIFTI-1 image, NIFTI-1 image

subjects_hierarchy_DARTEL :

Text file, Text file

flow_field :

NIFTI-1 image, NIFTI-1 image

compo_To_Tal :

Transformation matrix, Transformation matrix

data_out :

NIFTI-1 image, NIFTI-1 image