Use FSL dtifit command for fitting a diffusion tensor model at each
Usage
ni_fsl_dti_fit(
bvals,
bvecs,
dwi,
mask,
args = NULL,
base_name = "dtifit_",
cni = NULL,
gradnonlin = NULL,
little_bit = NULL,
max_x = NULL,
max_y = NULL,
max_z = NULL,
min_x = NULL,
min_y = NULL,
min_z = NULL,
save_tensor = NULL,
sse = NULL,
.cwd = NULL,
.env = NULL,
.engine = NULL,
.profile = NULL,
dry_run = FALSE,
echo = interactive()
)Arguments
- bvals
Character; file path. b values file Required.
- bvecs
Character; file path. b vectors file Required.
- dwi
Character; file path. diffusion weighted image data file Required.
- mask
Character; file path. bet binary mask file Required.
- args
Character. Additional parameters to the command
- base_name
Character. base_name that all output files will start with
- cni
Character; file path. input counfound regressors
- gradnonlin
Character; file path. gradient non linearities
- little_bit
Logical. only process small area of brain
- max_x
Integer. max x
- max_y
Integer. max y
- max_z
Integer. max z
- min_x
Integer. min x
- min_y
Integer. min y
- min_z
Integer. min z
- save_tensor
Logical. save the elements of the tensor
- sse
Logical. output sum of squared errors
- .cwd
Working directory override.
- .env
Named character vector of environment variables.
- .engine
Execution engine override.
- .profile
Runtime profile override.
- dry_run
Logical; preview command without executing.
- echo
Logical; echo stdout/stderr in real time.