Compute Pairwise mean distances

Tools to compute pairwise mean distances between all subject of the experiment and between sulci used to drive the DISCO registration.

See here: /neurospin/hbp/jlebenberg/Divers_scripts/multidatabase/ to post-process results.

Paramètres

study_type: Choice ( input )

data_type: Choice ( input )

template_dir: DARTEL Template Dir ( optional, entrée )

study_dir: DISCO Study Dir ( entrée )

sulci_to_be_studied: Sulci To Be Studied DISCO ( entrée )

subjects_hierarchy: Save Subjects Hierarchy DISCO ( entrée )

left_imprint_bottom: ListOf( Sulcal Imprint Full Bottom ) ( input )

right_imprint_bottom: ListOf( Sulcal Imprint Full Bottom ) ( input )

left_imprint_hull_junction: ListOf( Sulcal Imprint Full Hull Junction ) ( input )

right_imprint_hull_junction: ListOf( Sulcal Imprint Full Hull Junction ) ( input )

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

Grey_DISCO: ListOf( Grey Mask Corrected ) ( input )

Informations techniques

Toolbox : Disco

Niveau d'utilisateur : 1

Identifiant : PairwiseDistance

Nom de fichier : brainvisa/toolboxes/disco/processes/Tools/PairwiseDistance.py

Supported file formats :

template_dir :

Répertoire, Répertoire

study_dir :

Répertoire, Répertoire

sulci_to_be_studied :

Text file, Text file

subjects_hierarchy :

Text file, Text file

left_imprint_bottom :

NIFTI-1 image, NIFTI-1 image

right_imprint_bottom :

NIFTI-1 image, NIFTI-1 image

left_imprint_hull_junction :

NIFTI-1 image, NIFTI-1 image

right_imprint_hull_junction :

NIFTI-1 image, NIFTI-1 image

compo_To_Tal :

Transformation matrix, Transformation matrix

Grey_DISCO :

NIFTI-1 image, NIFTI-1 image