tedana.workflows.t2smap_workflow

t2smap_workflow(data, tes, mask=None, fitmode='all', combmode='t2s', label=None, debug=False, quiet=False)[source]

Estimate T2 and S0, and optimally combine data across TEs.

Parameters:
  • data (str or list of str) – Either a single z-concatenated file (single-entry list or str) or a list of echo-specific files, in ascending order.
  • tes (list) – List of echo times associated with data in milliseconds.
  • mask (str, optional) – Binary mask of voxels to include in TE Dependent ANAlysis. Must be spatially aligned with data.
  • fitmode ({'all', 'ts'}, optional) – Monoexponential model fitting scheme. ‘all’ means that the model is fit, per voxel, across all timepoints. ‘ts’ means that the model is fit, per voxel and per timepoint. Default is ‘all’.
  • combmode ({'t2s', 'paid'}, optional) – Combination scheme for TEs: ‘t2s’ (Posse 1999, default), ‘paid’ (Poser).
  • label (str or None, optional) – Label for output directory. Default is None.
Other Parameters:
 
  • debug (bool, optional) – Whether to run in debugging mode or not. Default is False.
  • quiet (bool, optional) – If True, suppresses logging/printing of messages. Default is False.

Notes

This workflow writes out several files, which are written out to a folder named TED.[ref_label].[label] if label is provided and TED.[ref_label] if not. ref_label is determined based on the name of the first data file.

Files are listed below:

Filename Content
t2sv.nii Limited estimated T2* 3D map or 4D timeseries. Will be a 3D map if fitmode is ‘all’ and a 4D timeseries if it is ‘ts’.
s0v.nii Limited S0 3D map or 4D timeseries.
t2svG.nii Full T2* map/timeseries. The difference between the limited and full maps is that, for voxels affected by dropout where only one echo contains good data, the full map uses the single echo’s value while the limited map has a NaN.
s0vG.nii Full S0 map/timeseries.
ts_OC.nii Optimally combined timeseries.