run_parallele: Boolean ( input )
do_AimsRoiFeatures: Boolean ( input )
PET_mean: Phantom PET Mean ( input )
sph_rois: Phantom ROI Sph ( input )
sph_roi_in_Noise: Phantom ROI Sph inNoise ( input )
CT: Phantom CT ( optional, input )
center: String ( input )
Pets_mean: ListOf( Phantom PET Mean ) ( input )
CT2PetMeans: ListOf( CT_to_PETMean ) ( input )
theoric_values: Phantom Theoric Values ( optional, output )
bkg_preparedConcentration: Float ( input )prepared concentration in background unit is bequerel
bkg_H_M_pre: String ( input )
bkg_residualConcentration: Float ( input )residual concentration in background unit is bequerel
bkg_H_M_res: String ( input )
sph_preparedConcentration: Float ( input )prepared concentration in spheres unit is bequerel
sph_H_M_pre: String ( input )
sph_residualConcentration: Float ( input )residual concentration in spheres unit is bequerel
sph_H_M_res: String ( input )
H_M_acq: String ( input )
periode_isotope: Float ( input )
stat: Phantom Activity Stats ( output )
stat_in_noise: Phantom Noise Stats ( output )
result: Phantom Result ( output )
stat_all: ListOf( Phantom Activity Stats ) ( output )
stat_in_noise_all: ListOf( Phantom Noise Stats ) ( output )
result_all: ListOf( Phantom Result ) ( output )
Toolbox : Nuclear Imaging
User level : 1
Identifier :
jzkQuantifySph_fromConcentration
File name :
brainvisa/toolboxes/nuclearimaging/processes/jaszczak/jzkQuantifySph_fromConcentration.py
Supported file formats :
PET_mean :NIFTI-1 image, NIFTI-1 imagesph_rois :NIFTI-1 image, NIFTI-1 imagesph_roi_in_Noise :NIFTI-1 image, NIFTI-1 imageCT :NIFTI-1 image, NIFTI-1 imagePets_mean :NIFTI-1 image, NIFTI-1 imageCT2PetMeans :Transformation matrix, Transformation matrixtheoric_values :CSV file, CSV filestat :CSV file, CSV filestat_in_noise :CSV file, CSV fileresult :CSV file, CSV filestat_all :CSV file, CSV filestat_in_noise_all :CSV file, CSV fileresult_all :CSV file, CSV file