tedana.decomposition._utils

Utility functions for tedana decomposition

Functions

eimask(dd[, ees]) Returns mask for data between [0.001, 5] * 98th percentile of dd
eimask(dd, ees=None)[source]

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