tedana.model
.fit_decay_ts¶
-
fit_decay_ts
(data, mask, tes, masksum, start_echo)[source]¶ Fit voxel- and timepoint-wise monoexponential decay models to data
Parameters: - data ((S x E x T) array_like) – Multi-echo data array, where S is samples, E is echos, and T is time
- tes ((E, ) list) – Echo times
- mask ((S, ) array_like) – Boolean array indicating samples that are consistently (i.e., across time AND echoes) non-zero
- masksum ((S, ) array_like) – Valued array indicating number of echos that have sufficient signal in given sample
- start_echo (int) – First echo to consider
Returns: - t2sa_ts ((S x E x T)
numpy.ndarray
) – Limited T2* map - s0va_ts ((S x E x T)
numpy.ndarray
) – Limited S0 map - t2saf_ts ((S x E x T)
numpy.ndarray
) – Full T2* map - s0vaf_ts ((S x E x T)
numpy.ndarray
) – Full S0 map