Quantify spheres using activities

All reconstruction are quantified using ROI previously computed and AimsRoiFeatures

Parameters

run_parallele: Boolean ( input )
do_AimsRoiFeatures: Boolean ( input )
CT: Phantom CT ( optional, input )
center: String ( input )
Pets_mean: ListOf( Phantom PET Mean ) ( input )
CT2PetMeans: ListOf( CT to PET transformation file ) ( input )
sph_rois: Phantom ROI Sph ( input )
sph_roi_in_Noise: Phantom ROI Sph inNoise ( input )
jzkSpec: Phantom Spec ( input )
theoric_values: Phantom Theoric Values ( optional, output )
bkg_preparedActivity: Float ( input )
prepared activity in background unit is Mega bequerel
bkg_H_M_pre: String ( input )
backgrouND Hour of Mesure for the PREparation. eg: 16:13
bkg_residualActivity: Float ( input )
residual activity in background unit is Mega bequerel
bkg_H_M_res: String ( input )
backgrouND Hour of Mesure for the RESidual. eg: 16:34
sph_preparedActivity: Float ( input )
prepared activity in spheres unit is Mega bequerel
sph_H_M_pre: String ( input )
SPHere Hour of Mesure for the PREparation. eg: 15:50
sph_residualActivity: Float ( input )
residual activity in spheres unit is Mega bequerel
sph_H_M_res: String ( input )
SPHere Hour of Mesure for the RESidual. eg: 16:02
H_M_acq: String ( input )
Hour and Minutesfor the PET ACQuisition. eg 16:57
periode_isotope: Float ( input )
stats_inSpheres: ListOf( Phantom Activity Stats ) ( output )
stats_inNoise: ListOf( Phantom Noise Stats ) ( output )
stats_inGhosts: ListOf( Phantom ROI Sph Ghosts Stat ) ( input )
ratios_inSpheres: ListOf( Phantom Result ) ( output )
ratios_inGhosts: ListOf( Phantom Sph Ghosts Result ) ( output )

Technical information

Toolbox : Nuclear Imaging

User level : 2

Identifier : jzkQuantifySph_fromActivity

File name : brainvisa/toolboxes/nuclearimaging/processes/jaszczak/jzkQuantifySph_fromActivity.py

Supported file formats :

CT :
NIFTI-1 image, NIFTI-1 image
Pets_mean :
NIFTI-1 image, NIFTI-1 image
CT2PetMeans :
Transformation matrix, Transformation matrix
sph_rois :
NIFTI-1 image, NIFTI-1 image
sph_roi_in_Noise :
NIFTI-1 image, NIFTI-1 image
jzkSpec :
CSV file, CSV file
theoric_values :
CSV file, CSV file
stats_inSpheres :
CSV file, CSV file
stats_inNoise :
CSV file, CSV file
stats_inGhosts :
CSV file, CSV file
ratios_inSpheres :
CSV file, CSV file
ratios_inGhosts :
CSV file, CSV file