03. DARTEL Images Warping

This step enables to apply the DARTEL deformation previously estimated in 02. DARTEL Template Creation to volumes.

Better option: Use Final deformation applied on volume instead of this process.

Otherwise, for this process:

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

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), as well as the volume_Talairach_resample and the flow_field associated to the subject involved.

The numerical parameters (finale_isotropic_resolution, dartel_intermediate_dimension, min_x, max_X, min_y, max_Y, min_z, maxZ) must be the same as those fixed 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 )

interp: Choice ( input )

voxels values resampling

template_dir: DARTEL Template Dir ( input )

Directory of the DARTEL experiment

subjects_hierarchy_DARTEL: Save Subjects Hierarchy DARTEL ( input )

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

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

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

data_out: ListOf( T1 MRI Bias Corrected DISCO DARTEL ) ( output )

Technical information

Toolbox : Disco

User level : 1

Identifier : DartelWarping

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

Supported file formats :

template_dir :

Directory, Directory

subjects_hierarchy_DARTEL :

Text file, Text file

data_in :

NIFTI-1 image, NIFTI-1 image

compo_To_Tal :

Transformation matrix, Transformation matrix

flow_field :

NIFTI-1 image, NIFTI-1 image

data_out :

NIFTI-1 image, NIFTI-1 image