interfaces.dipy.tensors

DTI

Link to code

Calculates the diffusion tensor model parameters

Example

>>> import nipype.interfaces.dipy as dipy
>>> dti = dipy.DTI()
>>> dti.inputs.in_file = 'diffusion.nii'
>>> dti.inputs.in_bvec = 'bvecs'
>>> dti.inputs.in_bval = 'bvals'
>>> dti.run()                                   

Inputs:

[Mandatory]
in_bval: (an existing file name)
        input b-values table
in_bvec: (an existing file name)
        input b-vectors table
in_file: (an existing file name)
        input diffusion data

[Optional]
b0_thres: (an integer (int or long), nipype default value: 700)
        b0 threshold
ignore_exception: (a boolean, nipype default value: False)
        Print an error message instead of throwing an exception in case the
        interface fails to run
mask_file: (an existing file name)
        An optional white matter mask
out_prefix: (a string)
        output prefix for file names

Outputs:

ad_file: (an existing file name)
fa_file: (an existing file name)
md_file: (an existing file name)
out_file: (an existing file name)
rd_file: (an existing file name)

TensorMode

Link to code

Creates a map of the mode of the diffusion tensors given a set of diffusion-weighted images, as well as their associated b-values and b-vectors. Fits the diffusion tensors and calculates tensor mode with Dipy.

[1]	Daniel B. Ennis and G. Kindlmann, “Orthogonal Tensor Invariants and the Analysis of Diffusion Tensor Magnetic Resonance Images”, Magnetic Resonance in Medicine, vol. 55, no. 1, pp. 136-146, 2006.

Example

>>> import nipype.interfaces.dipy as dipy
>>> mode = dipy.TensorMode()
>>> mode.inputs.in_file = 'diffusion.nii'
>>> mode.inputs.in_bvec = 'bvecs'
>>> mode.inputs.in_bval = 'bvals'
>>> mode.run()                                   

Inputs:

[Mandatory]
in_bval: (an existing file name)
        input b-values table
in_bvec: (an existing file name)
        input b-vectors table
in_file: (an existing file name)
        input diffusion data

[Optional]
b0_thres: (an integer (int or long), nipype default value: 700)
        b0 threshold
ignore_exception: (a boolean, nipype default value: False)
        Print an error message instead of throwing an exception in case the
        interface fails to run
mask_file: (an existing file name)
        An optional white matter mask
out_prefix: (a string)
        output prefix for file names

Outputs:

out_file: (an existing file name)