verbosity issue

OSMAPOSLParameters :=
; example file for running OSEM with gated projection data and motion. This uses classes
; inside of the experimental folder. Motion resampling here uses the adjoint, which is
; more correct when doing MCIR.

objective function type:= PoissonLogLikelihoodWithLinearModelForMeanAndGatedProjDataWithMotionNew
PoissonLogLikelihoodWithLinearModelForMeanAndGatedProjDataWithMotionNew Parameters:=

input file := sinos.txt

; if disabled, defaults to maximum segment number in the file
maximum absolute segment number to process := 4
; see User's Guide to see when you need this
zero end planes of segment 0:= 1

projector pair type := NiftyPET
 projector pair using NiftyPET parameters :=
 verbosity := 0
 use_truncation := 1
end projector pair using NiftyPET parameters := 

Bin Normalisation type for gate 1 := Chained
Chained Bin Normalisation Parameters :=
	Bin Normalisation to apply first:= From ECAT8
	Bin Normalisation From ECAT8 :=
		normalisation_filename := ../../sirf/NORM.n.hdr
		use gaps:=0
	End Bin Normalisation From ECAT8 :=

	Bin Normalisation to apply second:= From Attenuation Image
	Bin Normalisation From Attenuation Image:=
		attenuation_image_filename := ../../sirf/MUH_comb.hv
	End Bin Normalisation From Attenuation Image :=
END Chained Bin Normalisation Parameters :=	


transformation type for gate 1 := transformation
Transformation Parameters :=
cache_transformed_coords := 1
Transformation Type := BSplines transformation
	BSplines Transformation Parameters :=
		deformation field multicomponent filename x-component := zero_motion_x.nii
		deformation field multicomponent filename y-component := zero_motion_y.nii
		deformation field multicomponent filename z-component := zero_motion_z.nii
	End BSplines Transformation Parameters :=
End Transformation Parameters :=

; if next is set to 1, sensitivity will be recomputed
; and also written to file (if "sensitivity filename" or "subset sensitivity filenames" is set)
; if it is zero, the sensitivity will be read from file
recompute sensitivity := 0
use subset sensitivities:=1 ; recommended
; ; optional filename to store/read the sensitivity image 
; ; (if "use subset sensitivity" is off)
; ;sensitivity filename:=
; ; optional filename to store/read the subsensitivities
; ; use %d where you want the subset-number (a la printf)
subset sensitivity filenames:= sens_GPU_%d.hv
;subset sensitivity filenames:= sens_%d.hv

; choose size of pixels
; x,y pixel size = bin_size/zoom
; zoom := 1
; number of x,y pixels (-1 takes default value to cover the FOV)
xy output image size (in pixels) := 320

end PoissonLogLikelihoodWithLinearModelForMeanAndGatedProjDataWithMotionNew Parameters:=

; Number of subsets should be a divisor of num_views/4
number of subsets:= 1 ; GPU
;number of subsets:= 21
; Use for starting the numbering from something else than 1
;start at subiteration number:=1
; Use if you want to start from another subset than 0 (but why?)
;start at subset:= 0
number of subiterations:= 1
;save estimates at subiteration intervals:= 12

; initial estimate := some_image
; enable this when you read an initial estimate with negative data
enforce initial positivity condition:=0

output filename prefix := stir_mcir_recon_noNorm_noSubsetSensitivities_noMotion_NiftyPET

output file format type := ITK
ITK Output File Format Parameters:=
  default extension:=.nii
End ITK Output File Format Parameters:=
end := 

verbosity := 0

END :=