Note
This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.
8.5.16. nilearn.image.resample_to_img¶
nilearn.image.resample_to_img(source_img, target_img, interpolation='continuous', copy=True, order='F', clip=False, fill_value=0, force_resample=False)¶Resample a Niimg-like source image on a target Niimg-like image (no registration is performed: the image should already be aligned).
New in version 0.2.4.
Parameters: source_img: Niimg-like object
See http://nilearn.github.io/manipulating_images/input_output.html Image(s) to resample.
target_img: Niimg-like object
See http://nilearn.github.io/manipulating_images/input_output.html Reference image taken for resampling.
interpolation: str, optional
Can be ‘continuous’ (default), ‘linear’, or ‘nearest’. Indicates the resample method.
copy: bool, optional
If True, guarantees that output array has no memory in common with input array. In all cases, input images are never modified by this function.
order: “F” or “C”
Data ordering in output array. This function is slightly faster with Fortran ordering.
clip: bool, optional
If False (default) no clip is preformed. If True all resampled image values above max(img) and under min(img) are clipped to min(img) and max(img)
fill_value: float, optional
Use a fill value for points outside of input volume (default 0).
force_resample: bool, optional
Intended for testing, this prevents the use of a padding optimzation
Returns: resampled: nibabel.Nifti1Image
input image, resampled to have respectively target image shape and affine as shape and affine.
See also
