Reg tools

Usage

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Usage:	reg_tools -in <filename> -out <filename> [OPTIONS].
	-in <filename>	Filename of the input image image (mandatory)
* * OPTIONS * *
	-out <filename>		Filename out the output image [output.nii]
	-float			The input image is converted to float
	-down			The input image is downsampled 2 times
	-smoS <float> <float> <float>	The input image is smoothed using a cubic b-spline kernel
	-smoG <float> <float> <float>	The input image is smoothed using Gaussian kernel
	-smoL <float> <float> <float>	The input label image is smoothed using Gaussian kernel
	-add <filename/float>	This image (or value) is added to the input
	-sub <filename/float>	This image (or value) is subtracted to the input
	-mul <filename/float>	This image (or value) is multiplied to the input
	-div <filename/float>	This image (or value) is divided to the input
	-rms <filename>		Compute the mean rms between both image
	-bin 			Binarise the input image (val!=0?val=1:val=0)
	-thr <float>		Threshold the input image (val<thr?val=0:val=1)
	-nan <filename>		This image is used to mask the input image.
				Voxels outside of the mask are set to nan
	-iso			The resulting image is made isotropic
	-noscl			The scl_slope and scl_inter are set to 1 and 0 respectively

	--version		Print current source code git hash key and exit
				(3d24c3580a0cd227f30540578b3f84eca9d01e4a)
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