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.

8.8.4. nilearn.regions.signals_to_img_labels

nilearn.regions.signals_to_img_labels(signals, labels_img, mask_img=None, background_label=0, order='F')[source]

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.


2D array with shape: (scan number, number of regions in labels_img).

labels_imgNiimg-like object

See Region definitions using labels.

mask_imgNiimg-like object, optional

Boolean array giving voxels to process. integer arrays also accepted, In this array, zero means False, non-zero means True.

background_labelnumber, optional

Label to use for “no region”. Default=0.

orderstr, optional

Ordering of output array (“C” or “F”). Default=”F”.


Reconstructed image. dtype is that of “signals”, affine and shape are those of labels_img.