Preprocess for SUV-SUVR Pipeline

Parameters

pet_mean: PetSubject PET Mean ( input )

pet_mean_referential: PET Mean Referential ( output )

t1mri: Raw T1 MRI ( input )

t1mri_referential: Referential of Raw T1 MRI ( output )

TPM_template: TPM template ( input )

force_segmentation: Boolean ( input )

If checked, the MRI segmentation will be done even if outputs already exist.

compute_SUV: Boolean ( input )

delay_time: Float ( optional, input )

weight: Float ( optional, input )

dose_injected: Float ( optional, input )

coregister_trm: Transformation T1MRI nobias to PET from coregister ( output )

forward_field: SPM deformation field ( output )

inverse_field: SPM deformation field ( output )

t1mri_nobias: T1 MRI Bias Corrected ( output )

t1mri_MNI: T1 MRI Mni ( output )

pet_SUV: PetSubject PET SUV ( output )

grey_native_mask: T1 MRI Nat GreyMask ( output )

white_native_mask: T1 MRI Nat WhiteMask ( output )

t1mri_PetSpc_nobias: PetSubject MRI T1 PetSpc Bias Corrected ( output )

need_to_do_segmentation: Boolean ( input )

need_to_do_masks: Boolean ( input )

Technical information

Toolbox : Nuclear Imaging

User level : 0

Identifier : PreProcessSUVSUVR

File name : brainvisa/toolboxes/nuclearimaging/processes/old/preprocessing/Intensity_Normalization/PreProcessSUVSUVR.py

Supported file formats :

pet_mean :

NIFTI-1 image, NIFTI-1 image

pet_mean_referential :

Referential, Referential

t1mri :

NIFTI-1 image, NIFTI-1 image

t1mri_referential :

Referential, Referential

TPM_template :

NIFTI-1 image, MINC image, NIFTI-1 image, SPM image

coregister_trm :

Transformation matrix, Transformation matrix

forward_field :

NIFTI-1 image, NIFTI-1 image

inverse_field :

NIFTI-1 image, NIFTI-1 image

t1mri_nobias :

NIFTI-1 image, NIFTI-1 image

t1mri_MNI :

NIFTI-1 image, NIFTI-1 image

pet_SUV :

NIFTI-1 image, NIFTI-1 image

grey_native_mask :

NIFTI-1 image, NIFTI-1 image

white_native_mask :

NIFTI-1 image, NIFTI-1 image

t1mri_PetSpc_nobias :

NIFTI-1 image, NIFTI-1 image