tedana.utils.make_min_mask

make_min_mask(data, roi=None)

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
• roi (str, optional) – Binary mask for region-of-interest to consider in TE Dependent ANAlysis

Returns:

mask – Boolean array

Return type:

(S,) numpy.ndarray