bartorch.tools.epg

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bartorch.tools.epg#

bartorch.tools.epg(*, C=False, M=False, H=False, F=False, S=False, B=False, flag_1=None, flag_2=None, b=None, o=None, r=None, e=None, f=None, s=None, n=None, u=None, v=None, **extra)#

Simulate MR pulse sequence based on Extended Phase Graphs (EPG)

Runs bart epg.

Parameters:

  • C (bool) – CPMG (-C)

  • M (bool) – fmSSFP (-M)

  • H (bool) – Hyperecho (-H)

  • F (bool) – FLASH (-F)

  • S (bool) – Spinecho (-S)

  • B (bool) – bSSFP (-B)

  • flag_1 (float | None) – T1 [units of time] (-1)

  • flag_2 (float | None) – T2 [units of time] (-2)

  • b (float | None) – relative B1 [unitless] (-b)

  • o (float | None) – off-resonance [units of inverse time] (-o)

  • r (float | None) – repetition time [units of time] (-r)

  • e (float | None) – echo time [units of time] (-e)

  • f (float | None) – flip angle [degrees] / refocusing FA for CPMG (-f)

  • s (int | None) – spoiling (0: ideal, 1: conventional RF, 2: random RF) (-s)

  • n (int | None) – number of pulses (-n)

  • u (int | tuple[int, ...] | None) – Unknowns, by index: 0 is T1, 1 is T2, 2 is B1 and 3 is off-resonance. (-u)

  • v (int | None) – verbosity level (-v)

  • **extra (Any) – Further BART flags, passed through by name.

Returns:

signal intensity, configuration states, (rel.) signal derivatives, configuration derivatives

Return type:

tuple of torch.Tensor

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