None
pet_mean: PET mean ( entrée )
do_SUV: Booléen ( input )
delay_time: Réel ( optional, input )
weight: Réel ( optional, input )
dose_injected: Réel ( optional, input )
pet_data: PET acquisition data ( optional, sortie )
pet_SUV: PET SUV ( optional, sortie )
t1mri: Raw T1 MRI ( entrée )
segmentation_method: Choice ( input )
TPM_template: TPM template ( entrée )
spatial_norm: Choice ( optional, input )
mri_preprocess: Choice ( input )
DARTEL_template: TPM HDW DARTEL template ( entrée )
masking_method: Choice ( input )
coregister_trm: T1MRI to PET transformation file ( sortie )
t1mri_bias_corrected: IRM T1 Biais Corrigé ( sortie )
grey_mask: T1 MRI tissue probability mask ( sortie )
white_mask: T1 MRI tissue probability mask ( sortie )
csf_mask: T1 MRI tissue probability mask ( sortie )
forward_field: SPM deformation field ( sortie )
inverse_field: SPM deformation field ( sortie )
t1mri_nobias_moved_to_pet: IRM T1 Biais Corrigé ( sortie )
t1mri_nobias_deformed_to_mni: IRM T1 Biais Corrigé ( sortie )
segmentation_needed: Booléen ( input )
Toolbox : Imagerie nucléaire
Niveau d'utilisateur : 0
Identifiant :
PreprocessPETPipeline_spm8Nom de fichier :
brainvisa/toolboxes/nuclearimaging/processes/subpipelines/PreprocessPETPipeline_spm8.pySupported file formats :
pet_mean :NIFTI-1 image, NIFTI-1 imagepet_data :JSON file, JSON filepet_SUV :NIFTI-1 image, NIFTI-1 imaget1mri :NIFTI-1 image, NIFTI-1 imageTPM_template :NIFTI-1 image, MINC image, NIFTI-1 image, SPM imageDARTEL_template :NIFTI-1 image, MINC image, NIFTI-1 image, SPM imagecoregister_trm :Transformation matrix, Transformation matrixt1mri_bias_corrected :NIFTI-1 image, NIFTI-1 imagegrey_mask :NIFTI-1 image, NIFTI-1 imagewhite_mask :NIFTI-1 image, NIFTI-1 imagecsf_mask :NIFTI-1 image, NIFTI-1 imageforward_field :NIFTI-1 image, NIFTI-1 imageinverse_field :NIFTI-1 image, NIFTI-1 imaget1mri_nobias_moved_to_pet :NIFTI-1 image, NIFTI-1 imaget1mri_nobias_deformed_to_mni :NIFTI-1 image, NIFTI-1 image