Parallel propagative slice serie landmarks registration

None

Paramètres

ListOf_Input_Volume: ListOf( Volume 3D ) ( input )

Landmarks: CSV file ( entrée )

Reference_Slice_Number: Entier ( input )

Rigid_Activated: Booléen ( input )

Affine_Activated: Booléen ( input )

Background_Color: String ( optional, input )

Output_Directory: Répertoire ( sortie )

ListOf_Output_Volume: ListOf( Volume 3D ) ( output )

Output_Transformation_Directory: Répertoire ( optional, sortie )

ListOf_Output_Transformation: ListOf( Transformation matrix ) ( optional, output )

Informations techniques

Toolbox : Bioprocessing

Niveau d'utilisateur : 0

Identifiant : SliceSerieLandmarksRegistrationParallel

Nom de fichier : brainvisa/toolboxes/bioprocessing/processes/research/projects/gff/SliceSerieLandmarksRegistrationParallel.py

Supported file formats :

ListOf_Input_Volume :

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

Landmarks :

CSV file, CSV file

Output_Directory :

Répertoire, Répertoire

ListOf_Output_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

Output_Transformation_Directory :

Répertoire, Répertoire

ListOf_Output_Transformation :

Transformation matrix, Transformation matrix