dipy_align_syn

Usage

dipy_align_syn [-h] [–prealign_file str] [–inv_static] [–level_iters [int …]] [–metric str] [–mopt_sigma_diff float] [–mopt_radius int] [–mopt_smooth float]

[–mopt_inner_iter int] [–mopt_q_levels int] [–mopt_double_gradient] [–mopt_step_type str] [–step_length float] [–ss_sigma_factor float] [–opt_tol float] [–inv_iter int] [–inv_tol float] [–out_dir str] [–out_warped str] [–out_inv_static str] [–out_field str] static_image_files moving_image_files

Positional Arguments

static_image_files Path of the static image file. moving_image_files Path to the moving image file.

options:

-h, --help

show this help message and exit

--prealign_file str

The text file containing pre alignment information via an affine matrix.

--inv_static

Apply the inverse mapping to the static image.

–level_iters [int …]

The number of iterations at each level of the gaussian pyramid.

--metric str

The metric to be used. metric available: cc (Cross Correlation), ssd (Sum Squared Difference), em (Expectation-Maximization).

--mopt_sigma_diff float

Metric option applied on Cross correlation (CC). The standard deviation of the Gaussian smoothing kernel to be applied to the update field at each iteration.

--mopt_radius int

Metric option applied on Cross correlation (CC). the radius of the squared (cubic) neighborhood at each voxel to be considered to compute the cross correlation.

--mopt_smooth float

Metric option applied on Sum Squared Difference (SSD) and Expectation Maximization (EM). Smoothness parameter, the larger the value the smoother the deformation field. (default 1.0 for EM, 4.0 for SSD)

--mopt_inner_iter int

Metric option applied on Sum Squared Difference (SSD) and Expectation Maximization (EM). This is number of iterations to be performed at each level of the multi-resolution Gauss-Seidel optimization algorithm (this is not the number of steps per Gaussian Pyramid level, that parameter must be set for the optimizer, not the metric). Default 5 for EM, 10 for SSD.

--mopt_q_levels int

Metric option applied on Expectation Maximization (EM). Number of quantization levels (Default: 256 for EM)

--mopt_double_gradient

Metric option applied on Expectation Maximization (EM). if True, the gradient of the expected static image under the moving modality will be added to the gradient of the moving image, similarly, the gradient of the expected moving image under the static modality will be added to the gradient of the static image.

--mopt_step_type str

Metric option applied on Sum Squared Difference (SSD) and Expectation Maximization (EM). The optimization schedule to be used in the multi-resolution Gauss-Seidel optimization algorithm (not used if Demons Step is selected). Possible value: (‘gauss_newton’, ‘demons’). default: ‘gauss_newton’ for EM, ‘demons’ for SSD.

--step_length float

the length of the maximum displacement vector of the update displacement field at each iteration.

--ss_sigma_factor float

parameter of the scale-space smoothing kernel. For example, the std. dev. of the kernel will be factor*(2^i) in the isotropic case where i = 0, 1, …, n_scales is the scale.

--opt_tol float

the optimization will stop when the estimated derivative of the energy profile w.r.t. time falls below this threshold.

--inv_iter int

the number of iterations to be performed by the displacement field inversion algorithm.

--inv_tol float

the displacement field inversion algorithm will stop iterating when the inversion error falls below this threshold.

Output Arguments(Optional)

--out_dir str

Directory to save the transformed files (default current directory).

--out_warped str

Name of the warped file.

--out_inv_static str

Name of the file to save the static image after applying the inverse mapping.

--out_field str

Name of the file to save the diffeomorphic map.

References

Garyfallidis, E., M. Brett, B. Amirbekian, A. Rokem, S. Van Der Walt, M. Descoteaux, and I. Nimmo-Smith. Dipy, a library for the analysis of diffusion MRI data. Frontiers in Neuroinformatics, 1-18, 2014.