Compute pairwise distances for a given sulcus

None

Paramètres

study_dir: DISCO Study Dir ( entrée )

sulci_to_be_studied: Sulci To Be Studied DISCO ( entrée )

side: Choice ( input )

ref_graph: Graphe de sillons corticaux ( entrée )

ref_t1mri_nobias: IRM T1 ( entrée )

graph_list: ListOf( Graphe de sillons corticaux ) ( input )

t1mri_nobias_list: ListOf( IRM T1 ) ( input )

attribute: Choice ( input )

label_translation: Label translation ( entrée )

sulci: ListOf( OpenChoice ) ( input )

output: Text file ( sortie )

Informations techniques

Toolbox : Disco

Niveau d'utilisateur : 2

Identifiant : pairwise_distance_for_sulcus

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

Supported file formats :

study_dir :

Répertoire, Répertoire

sulci_to_be_studied :

Text file, Text file

ref_graph :

Graph and data, Graph and data

ref_t1mri_nobias :

gz compressed NIFTI-1 image, Aperio svs, DICOM image, Répertoire, ECAT i image, ECAT v image, FDF image, FreesurferMGH, FreesurferMGZ, GIS image, Hamamatsu ndpi, Hamamatsu vms, Hamamatsu vmu, JPEG image, Leica scn, MINC image, NIFTI-1 image, SPM image, Sakura svslide, TIFF image, TIFF image, TIFF(.tif) image, TIFF(.tif) image, Ventana bif, Zeiss czi, gz compressed MINC image, gz compressed NIFTI-1 image

graph_list :

Graph and data, Graph and data

t1mri_nobias_list :

gz compressed NIFTI-1 image, Aperio svs, DICOM image, Directory, ECAT i image, ECAT v image, FDF image, FreesurferMGH, FreesurferMGZ, GIS image, Hamamatsu ndpi, Hamamatsu vms, Hamamatsu vmu, JPEG image, Leica scn, MINC image, NIFTI-1 image, SPM image, Sakura svslide, TIFF image, TIFF image, TIFF(.tif) image, TIFF(.tif) image, Ventana bif, Zeiss czi, gz compressed MINC image, gz compressed NIFTI-1 image

label_translation :

Label Translation, Label Translation

output :

Text file, Text file