Import T1 MRI (multiple)

Places several T1 MRI images in BrainVISA database

Description

This is a variant of the Import T1 MRI process, allowing to import multiple T1 images at once and place them in the same output data organization.
Inputs and outputs parameters are lists, and a few extra parameters (specific to BrainVISA standard fies organization) allow to easily place them in the output database, typically by entering a list of subjects names.
Otherwise it behaves like iterating over the Import T1 MRI process, in sequential mode.

Paramètres

inputs: ListOf( IRM T1 ) ( input )

outputs: ListOf( Raw T1 MRI ) ( output )

referentials: ListOf( Referential of Raw T1 MRI ) ( optional, output )

output_database: Choice ( optional, input )

attributes_merging: Choice ( optional, input )

selected_attributes_from_header: ListOf( String ) ( optional, input )

subjects: ListOf( String ) ( input )

center: String ( optional, input )

acquisition: String ( optional, input )

other_attributes: String ( optional, input )

Informations techniques

Toolbox : Gestion des données

Niveau d'utilisateur : 0

Identifiant : ImportT1MRI_multiple

Nom de fichier : brainvisa/toolboxes/data management/processes/import/t1mri/ImportT1MRI_multiple.py

Supported file formats :

inputs :

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

outputs :

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

referentials :

Referential, Referential