None
analysis: String ( input )
PVC_method: Choice ( input )
SPECT: SPECT Volume ( entrée )
SPECT_PVC: SPECT Volume ( sortie )
striatum_labels: SPECT quantification ROI ( entrée )
brain_mask: Intracranial mask ( entrée )
intracranial_labels: SPECT intracranial labels ( sortie )
intracranial_labels_translation: SPECT intracranial labels translation ( sortie )
FWHM: String ( input )
FWHM_informations: FWHM informations ( optional, entrée )
Corrected_GTM_based_Uptake: GTM PVC based corrected images data ( optional, sortie )
Toolbox : Imagerie nucléaire
Niveau d'utilisateur : 1
Identifiant :
datscan_pvc_pipelineNom de fichier :
brainvisa/toolboxes/nuclearimaging/processes/datscan/Preprocessing/datscan_pvc_pipeline.pySupported file formats :
SPECT :gz compressed NIFTI-1 image, NIFTI-1 image, gz compressed NIFTI-1 imageSPECT_PVC :gz compressed NIFTI-1 image, NIFTI-1 image, gz compressed NIFTI-1 imagestriatum_labels :gz compressed NIFTI-1 image, NIFTI-1 image, gz compressed NIFTI-1 imagebrain_mask :gz compressed NIFTI-1 image, NIFTI-1 image, gz compressed NIFTI-1 imageintracranial_labels :gz compressed NIFTI-1 image, NIFTI-1 image, gz compressed NIFTI-1 imageintracranial_labels_translation :JSON file, JSON fileFWHM_informations :CSV file, CSV fileCorrected_GTM_based_Uptake :CSV file, CSV file