tedana.utils.utils.make_min_mask

make_min_mask(data)

Generates a 3D mask of data

Only samples that are consistently (i.e., across time AND echoes) non-zero in data are True in output

Parameters:data ((S x E x T) array_like) – Multi-echo data array, where S is samples, E is echos, and T is time Returns:mask – Boolean array Return type:(S, ) numpy.ndarray