Difference between revisions of "Reg tools"
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==Usage== | ==Usage== | ||
<code><pre> | <code><pre> | ||
+ | * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * | ||
+ | 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) | ||
+ | * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * | ||
</pre></code> | </pre></code> |
Latest revision as of 11:35, 3 October 2014
Usage
* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
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)
* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *