Wraps command **ResampleScalarVectorDWIVolume **
title: Resample Scalar/Vector/DWI Volume
category: Filtering
description: This module implements image and vector-image resampling through the use of itk Transforms.It can also handle diffusion weighted MRI image resampling. “Resampling” is performed in space coordinates, not pixel/grid coordinates. It is quite important to ensure that image spacing is properly set on the images involved. The interpolator is required since the mapping from one space to the other will often require evaluation of the intensity of the image at non-grid positions.
Warning: To resample DWMR Images, use nrrd input and output files.
Warning: Do not use to resample Diffusion Tensor Images, tensors would not be reoriented
version: 0.1
documentation-url: http://www.slicer.org/slicerWiki/index.php/Documentation/4.1/Modules/ResampleScalarVectorDWIVolume
contributor: Francois Budin (UNC)
acknowledgements: This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on the National Centers for Biomedical Computing can be obtained from http://nihroadmap.nih.gov/bioinformatics
Inputs:
[Mandatory]
terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
Control terminal output: `stream` - displays to terminal
immediately, `allatonce` - waits till command is finished to display
output, `file` - writes output to file, `none` - output is ignored
[Optional]
Inverse_ITK_Transformation: (a boolean)
Inverse the transformation before applying it from output image to
input image
Reference: (an existing file name)
Reference Volume (spacing,size,orientation,origin)
args: (a string)
Additional parameters to the command
centered_transform: (a boolean)
Set the center of the transformation to the center of the input
image
defField: (an existing file name)
File containing the deformation field (3D vector image containing
vectors with 3 components)
default_pixel_value: (a float)
Default pixel value for samples falling outside of the input region
direction_matrix: (a float)
9 parameters of the direction matrix by rows (ijk to LPS if LPS
transform, ijk to RAS if RAS transform)
environ: (a dictionary with keys which are a value of type 'str' and
with values which are a value of type 'str', nipype default value:
{})
Environment variables
hfieldtype: ('displacement' or 'h-Field')
Set if the deformation field is an h-Field
ignore_exception: (a boolean, nipype default value: False)
Print an error message instead of throwing an exception in case the
interface fails to run
image_center: ('input' or 'output')
Image to use to center the transform (used only if 'Centered
Transform' is selected)
inputVolume: (an existing file name)
Input Volume to be resampled
interpolation: ('linear' or 'nn' or 'ws' or 'bs')
Sampling algorithm (linear or nn (nearest neighborhoor), ws
(WindowedSinc), bs (BSpline) )
notbulk: (a boolean)
The transform following the BSpline transform is not set as a bulk
transform for the BSpline transform
number_of_thread: (an integer)
Number of thread used to compute the output image
origin: (a list of items which are any value)
Origin of the output Image
outputVolume: (a boolean or a file name)
Resampled Volume
rotation_point: (a list of items which are any value)
Rotation Point in case of rotation around a point (otherwise
useless)
size: (a float)
Size along each dimension (0 means use input size)
spaceChange: (a boolean)
Space Orientation between transform and image is different (RAS/LPS)
(warning: if the transform is a Transform Node in Slicer3, do not
select)
spacing: (a float)
Spacing along each dimension (0 means use input spacing)
spline_order: (an integer)
Spline Order
terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
Control terminal output: `stream` - displays to terminal
immediately, `allatonce` - waits till command is finished to display
output, `file` - writes output to file, `none` - output is ignored
transform: ('rt' or 'a')
Transform algorithm, rt = Rigid Transform, a = Affine Transform
transform_matrix: (a float)
12 parameters of the transform matrix by rows ( --last 3 being
translation-- )
transform_order: ('input-to-output' or 'output-to-input')
Select in what order the transforms are read
transformationFile: (an existing file name)
window_function: ('h' or 'c' or 'w' or 'l' or 'b')
Window Function , h = Hamming , c = Cosine , w = Welch , l = Lanczos
, b = Blackman
Outputs:
outputVolume: (an existing file name)
Resampled Volume