Reg aladin
From CMIC
Usage
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Block Matching algorithm for global registration.
Based on Ourselin et al., "Reconstructing a 3D structure from serial histological sections",
Image and Vision Computing, 2001
This code has been written by Marc Modat (m.modat@ucl.ac.uk) and Pankaj Daga,
for any comment, please contact them.
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Usage: reg_aladin -ref <filename> -flo <filename> [OPTIONS].
-ref <filename> Reference image filename (also called Target or Fixed) (mandatory)
-flo <filename> Floating image filename (also called Source or moving) (mandatory)
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-noSym The symmetric version of the algorithm is used by default. Use this flag to disable it.
-rigOnly To perform a rigid registration only. (Rigid+affine by default)
-affDirect Directly optimize 12 DoF affine. (Default is rigid initially then affine)
-aff <filename> Filename which contains the output affine transformation. [outputAffine.txt]
-inaff <filename> Filename which contains an input affine transformation. (Affine*Reference=Floating) [none]
-rmask <filename> Filename of a mask image in the reference space.
-fmask <filename> Filename of a mask image in the floating space. (Only used when symmetric turned on)
-res <filename> Filename of the resampled image. [outputResult.nii]
-maxit <int> Maximal number of iterations of the trimmed least square approach to perform per level. [5]
-ln <int> Number of levels to use to generate the pyramids for the coarse-to-fine approach. [3]
-lp <int> Number of levels to use to run the registration once the pyramids have been created. [ln]
-smooR <float> Standard deviation in mm (voxel if negative) of the Gaussian kernel used to smooth the Reference image. [0]
-smooF <float> Standard deviation in mm (voxel if negative) of the Gaussian kernel used to smooth the Floating image. [0]
-refLowThr <float> Lower threshold value applied to the reference image. [0]
-refUpThr <float> Upper threshold value applied to the reference image. [0]
-floLowThr <float> Lower threshold value applied to the floating image. [0]
-floUpThr <float> Upper threshold value applied to the floating image. [0]
-nac Use the nifti header origin to initialise the transformation. (Image centres are used by default)
-cog Use the input masks centre of mass to initialise the transformation. (Image centres are used by default)
-interp Interpolation order to use internally to warp the floating image.
-iso Make floating and reference images isotropic if required.
-pv <int> Percentage of blocks to use in the optimisation scheme. [50]
-pi <int> Percentage of blocks to consider as inlier in the optimisation scheme. [50]
-speeeeed Go faster
-omp <int> Number of thread to use with OpenMP. [8]
-voff Turns verbose off [on]
--version Print current source code git hash key and exit
(3d24c3580a0cd227f30540578b3f84eca9d01e4a)
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