scatter_estimation.par

Scatter Estimation Parameters :=

;Run in debug mode
;; A new folder called extras will be created, in which many 
;; extra files will be stored 
run in debug mode := 1

; Measured data
input file := ${sino_input}

; Attenuation Image
attenuation image filename := ${atnimg}

; Normalisation coefficients & attenuation data
Normalisation type := from ProjData
   Bin Normalisation From ProjData :=
            normalisation projdata filename:= ${NORM}
   End Bin Normalisation From ProjData:=

attenuation correction factors filename := ${acf3d}

;; Background data (not  normalised).
; Should be set to the randoms estimate (unless you precorrected, but we haven't tested that)
background projdata filename := ${randoms3d}

; Mask for tail-fitting
; It will be computed by masking the attenuation image, and forward projecting that.
; If !recompute mask projdata then the filename must be set.
recompute mask projdata := 1
mask projdata filename := ${mask_projdata_filename}

; Input or output filename - depends on recompute  
recompute mask image := 1
mask image filename := ${mask_image}
; threshold to be applied after filtering (in cm^-1). Default value is below
mask attenuation image min threshold  := 0.003
; optional filename to specify a filter before thresholding the attenuation image
; By default a Gaussian filter with FWHM (15,20,20) will be used. Here we use an explicit file as an example.
mask attenuation image filter filename := ${scatter_pardir}/postfilter_Gaussian_for_mask.par
;End of Mask

;Parameter file for the tail fitting of the scatter data (within the mask)
tail fitting parameter filename := ${scatter_pardir}/tail_fitting.par

; Run simulation and reconstruction in 2D and export SSRB sinograms (currently required)
run in 2d projdata := 1

; ScatterSimulation parameters 
; could read from a file, but instead we have them below
; scatter simulation parameter filename := ${scatter_pardir}/scatter_simulation.par
Scatter Simulation type := PET Single Scatter Simulation
  PET Single Scatter Simulation Parameters :=
    ; could change some parameters here if you need to (not recommended)
  End PET Single Scatter Simulation Parameters:=

; next option is the default
use scanner downsampling in scatter simulation := 1

; could add parameters below, but reading it from file
; reconstruction type := ...
reconstruction parameter filename := ${scatter_pardir}/run_reconstruction.par 

;
; This is the number of times which the Scatter Estimation will
; iterate. Default is 5

number of scatter iterations := ${num_scat_iters}

; Average the first two activity images
do average at 2 := 1

; Export scatter estimates of each iteration 
export scatter estimates of each iteration := 1

output scatter estimate name prefix := ${scatter_prefix}
output additive estimate name prefix:= ${total_additive_prefix}

maximum scatter scaling factor := 2 ;10
minimum scatter scaling factor := 0.4 ;0.1

;Upsample and fit 
; defaults to 3.
upsampling half filter width := 3
remove interleaving before upsampling := 1

End Scatter Estimation Parameters :=