Block matching transformation estimation

None

Paramètres

Input_Volume: Volume 3D ( entrée )

Channel: Choice ( input )

Input_Volume_Reference: Volume 3D ( entrée )

Channel_Reference: Choice ( input )

Input_Transformation: Transformation matrix ( optional, entrée )

Optimization_Mode: Choice ( input )

Optimization_Level_Start: Entier ( optional, input )

Optimization_Level_Stop: Entier ( optional, input )

Optimization_Level_Iteration: Entier ( input )

Optimization_Blocks_Kept: Réel ( input )

Direct: Booléen ( input )

Output_Directory: Répertoire ( optional, sortie )

Output_Transformation: Transformation matrix ( sortie )

Informations techniques

Toolbox : BrainRAT

Niveau d'utilisateur : 3

Identifiant : BMTransformationEstimation

Nom de fichier : brainvisa/toolboxes/brainrat/processes/toolbox/registration/BMTransformationEstimation.py

Supported file formats :

Input_Volume :

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

Input_Volume_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

Input_Transformation :

Transformation matrix, Transformation matrix

Output_Directory :

Répertoire, Répertoire

Output_Transformation :

Transformation matrix, Transformation matrix