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.
6.7.2. nilearn.region.signals_to_img_labels¶
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nilearn.region.signals_to_img_labels(signals, labels_img, mask_img=None, background_label=0, order='F')¶ Create image from region signals defined as labels.
The same region signal is used for each voxel of the corresponding 3D volume.
labels_img, mask_img must have the same shapes and affines.
Parameters: signals: numpy.ndarray :
2D array with shape: (scan number, number of regions in labels_img)
labels_img: Niimg-like object :
See http://nilearn.github.io/building_blocks/manipulating_mr_images.html#niimg. Region definitions using labels.
mask_img: Niimg-like object, optional :
Boolean array giving voxels to process. integer arrays also accepted, In this array, zero means False, non-zero means True.
background_label: number :
label to use for “no region”.
order: str :
ordering of output array (“C” or “F”). Defaults to “F”.
Returns: img: nibabel.Nifti1Image :
Reconstructed image. dtype is that of “signals”, affine and shape are those of labels_img.