tedana.decomposition._utils.eimask

eimask(dd, ees=None)

Returns mask for data between [0.001, 5] * 98th percentile of dd

Parameters:

• dd ((S x E x T) array_like) – Input data, where S is samples, E is echos, and T is time
• ees ((N,) list) – Indices of echos to assess from dd in calculating output

Returns:

imask – Boolean array denoting

Return type:

(S x N) numpy.ndarray