Quality check pipeline (PET)

Before using this pipeline:

First you need to import your CT and PET Dicom image. see in qualityCheck directory and use import Dicoms process.

Secondly you must convert your images. see in qualityCheck directory and use convert to Nii process.

Finally, you can use this pipeline by selecting your CT image.

Parameters

push_zone: String ( input )

pet_dicoms_directory: Directory ( input )

ct_dicoms_directory: Directory ( input )

t1_dicoms_directory: Directory ( input )

study: Choice ( input )

database: Choice ( input )

center: String ( input )

subject: String ( input )

acquisition: String ( input )

tracer: String ( input )

pet_reconstruction: String ( input )

delay_time: Float ( input )

weight: Float ( input )

dose_injected: Float ( input )

tracer_half_life: Float ( input )

blood_sugar: String ( input )

pet_acquisition_date: String ( input )

list_subjects_txt: Text file ( input )

ct_reconDiam: String ( input )

t1mri_acquisition_date: String ( input )

pet_dicoms_zip: PET raw dicom ( output )

pet_dynamic: PET dynamic ( output )

pet_dynamic_realigned: PET dynamic realigned ( output )

pet_mean: PET mean ( output )

pet_mean_baseline: PET mean ( output )

pet_outline: PET outline ( output )

pet_referential: referential of PET ( output )

ct_dicoms_zip: CT raw dicom ( output )

ct: CT ( output )

ct_outline: CT outline ( output )

ct_referential: referential of CT ( output )

ct_to_pet: CT to PET transformation file ( output )

t1: Raw T1 MRI ( output )

t1_dicoms_zip: T1 MRI raw dicom ( output )

t1_referential: Referential of Raw T1 MRI ( output )

QC_report: PDF Board ( output )

Technical information

Toolbox : Nuclear Imaging

User level : 1

Identifier : PETPQCPipeline

File name : brainvisa/toolboxes/nuclearimaging/processes/PETPQCPipeline.py

Supported file formats :

pet_dicoms_directory :

Directory, Directory

ct_dicoms_directory :

Directory, Directory

t1_dicoms_directory :

Directory, Directory

list_subjects_txt :

Text file, Text file

pet_dicoms_zip :

ZIP file, ZIP file

pet_dynamic :

Directory, Directory

pet_dynamic_realigned :

Directory, Directory

pet_mean :

NIFTI-1 image, NIFTI-1 image

pet_mean_baseline :

NIFTI-1 image, NIFTI-1 image

pet_outline :

NIFTI-1 image, NIFTI-1 image

pet_referential :

Referential, Referential

ct_dicoms_zip :

ZIP file, ZIP file

ct :

NIFTI-1 image, NIFTI-1 image

ct_outline :

NIFTI-1 image, NIFTI-1 image

ct_referential :

Referential, Referential

ct_to_pet :

Transformation matrix, Transformation matrix

t1 :

NIFTI-1 image, NIFTI-1 image

t1_dicoms_zip :

ZIP file, ZIP file

t1_referential :

Referential, Referential

QC_report :

PDF File, PDF File