Quantify spheres using concentrations

Paramètres

run_parallele: Booléen ( input )

do_AimsRoiFeatures: Booléen ( input )

PET_mean: Phantom PET Mean ( entrée )

sph_rois: Phantom ROI Sph ( entrée )

sph_roi_in_Noise: Phantom ROI Sph inNoise ( entrée )

CT: Phantom CT ( optional, entrée )

center: String ( input )

Pets_mean: ListOf( Phantom PET Mean ) ( input )

CT2PetMeans: ListOf( CT_to_PETMean ) ( input )

theoric_values: Phantom Theoric Values ( optional, sortie )

bkg_preparedConcentration: Réel ( input )

prepared concentration in background unit is bequerel

bkg_H_M_pre: String ( input )

bkg_residualConcentration: Réel ( input )

residual concentration in background unit is bequerel

bkg_H_M_res: String ( input )

sph_preparedConcentration: Réel ( input )

prepared concentration in spheres unit is bequerel

sph_H_M_pre: String ( input )

sph_residualConcentration: Réel ( input )

residual concentration in spheres unit is bequerel

sph_H_M_res: String ( input )

H_M_acq: String ( input )

periode_isotope: Réel ( input )

stat: Phantom Activity Stats ( sortie )

stat_in_noise: Phantom Noise Stats ( sortie )

result: Phantom Result ( sortie )

stat_all: ListOf( Phantom Activity Stats ) ( output )

stat_in_noise_all: ListOf( Phantom Noise Stats ) ( output )

result_all: ListOf( Phantom Result ) ( output )

Informations techniques

Toolbox : Imagerie nucléaire

Niveau d'utilisateur : 1

Identifiant : jzkQuantifySph_fromConcentration

Nom de fichier : brainvisa/toolboxes/nuclearimaging/processes/jaszczak/jzkQuantifySph_fromConcentration.py

Supported file formats :

PET_mean :

NIFTI-1 image, NIFTI-1 image

sph_rois :

NIFTI-1 image, NIFTI-1 image

sph_roi_in_Noise :

NIFTI-1 image, NIFTI-1 image

CT :

NIFTI-1 image, NIFTI-1 image

Pets_mean :

NIFTI-1 image, NIFTI-1 image

CT2PetMeans :

Transformation matrix, Transformation matrix

theoric_values :

CSV file, CSV file

stat :

CSV file, CSV file

stat_in_noise :

CSV file, CSV file

result :

CSV file, CSV file

stat_all :

CSV file, CSV file

stat_in_noise_all :

CSV file, CSV file

result_all :

CSV file, CSV file