Apply FFD on atlas label

None

Paramètres

Input_Atlas: Volume 3D ( entrée )

Motion_Matrix: Transformation matrix ( entrée )

FFD_Reference: Volume 3D ( entrée )

Knot_Grid: Volume 3D ( entrée )

Atlas_Label: Entier ( input )

Output_FFD_Label: Volume 3D ( sortie )

Informations techniques

Toolbox : Bioprocessing

Niveau d'utilisateur : 3

Identifiant : ApplyFFDOnLabel

Nom de fichier : brainvisa/toolboxes/bioprocessing/processes/research/registration/FFD-validation/ApplyFFDOnLabel.py

Supported file formats :

Input_Atlas :

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

Motion_Matrix :

Transformation matrix, Transformation matrix

FFD_Reference :

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

Knot_Grid :

GIS image, GIS image

Output_FFD_Label :

gz compressed NIFTI-1 image, DICOM image, Répertoire, 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