ANTs Apply Transforms¶

Library: ANTs | Docker Image: antsx/ants

Function¶

Applies one or more precomputed transformations (affine + warp) to images, applying transforms in reverse order of specification.

Modality: 3D or 4D NIfTI volume plus transform files (affine .mat and/or warp .nii.gz).

Typical Use: Applying registration transforms to data, labels, or ROIs.

-d (dimension), -i (input), -r (reference), -o (output), -t (transforms, applied last-to-first), -n (interpolation: Linear, NearestNeighbor, BSpline)

Transforms applied in REVERSE order listed. Use -n NearestNeighbor for label images. -e flag for time series.

Name	Type	Required	Label	Flag
`dimensionality`	`int`	Yes	Image dimensionality (2, 3, or 4)	`-d`
`input_image`	`File`	Yes	Input image to transform	`-i`
`reference_image`	`File`	Yes	Reference image defining output space	`-r`
`output_image`	`string`	Yes	Output transformed image filename	`-o`
`transforms`	`File[]`	Yes	Transform files (applied in reverse order - last specified first)	`-t`
`interpolation`	`enum`	No	Interpolation method	`-n`
`default_value`	`double`	No	Default voxel value for out-of-bounds points	`-f`
`input_image_type`	`enum`	No	Input image type (0=scalar, 1=vector, 2=tensor, 3=time-series)	`-e`
`use_float`	`boolean`	No	Use float instead of double for computations	`--float`
`verbose`	`boolean`	No	Enable verbose output	`-v`

Name	Type	Glob Pattern
`transformed_image`	`File`	`$(inputs.output_image)`
`log`	`File`	`antsApplyTransforms.log`

interpolation: Linear, NearestNeighbor, Gaussian, BSpline, GenericLabel

input_image_type: 0, 1, 2, 3

Available versions: latest, master, v2.6.5, 2.6.5, v2.6.4, 2.6.4, v2.6.3, 2.6.3, v2.6.2, 2.6.2 and 5 more