Individualize labeled volume

In the NSA project, this process enables to individualize each brain in the matrix.

Paramètres

Input_ListOf_Image: ListOf( Volume 3D ) ( input )

Upload list of 2d matrix(multiple brains) to be individualized.

Input_ListOf_BoundingBox: ListOf( Text file ) ( input )

Select the list of the bounding box files.

Borders: ListOf( Réel ) ( optional, input )

Enter the border size [sx sy sz] (default : [0,0,0] in mm).

Thickness: Réel ( input )

Output_Prefix: String ( optional, input )

Enter the prefix that will be used to create the names of output volumes.

Output_Directory: Répertoire ( optional, entrée )

Specify the output directory in which the volumes will be stored.

Output_ListOf_Volume: ListOf( Volume 3D ) ( output )

Specify the list of output volumes.

Informations techniques

Toolbox : Bioprocessing

Niveau d'utilisateur : 3

Identifiant : IndividualizeLabeledImage

Nom de fichier : brainvisa/toolboxes/bioprocessing/processes/research/toolbox/IndividualizeLabeledImage.py

Supported file formats :

Input_ListOf_Image :

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

Input_ListOf_BoundingBox :

Minf, Minf

Output_Directory :

Répertoire, Répertoire

Output_ListOf_Volume :

gz compressed NIFTI-1 image, DICOM image, Directory, ECAT i image, ECAT v image, FDF image, GIS image, JPEG image, MINC image, NIFTI-1 image, SPM image, TIFF image, TIFF(.tif) image, gz compressed MINC image, gz compressed NIFTI-1 image