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deepmr.recon.mpnrage_fit

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deepmr.recon.mpnrage_fit#

deepmr.recon.mpnrage_fit(input, t1grid, flip, TR, TI)[source]#

Fit T1 from input MPnRAGE data.

Parameters:

  • input (np.ndarray | torch.Tensor) – Input image series of shape (ncontrasts, nz, ny, nx).

  • t1grid (Iterable[float]) – T1 grid (start, stop, nsteps) in [ms].

  • flip (np.ndarray | torch.Tensor) – Excitation flip angles in [deg].

  • TR (float) – Repetition Time in [ms].

  • TI (float) – Inversion Time in [ms].

Returns:

  • m0 (np.ndarray | torch.Tensor) – Proton Density map of shape (nz, ny, nx).

  • t1map (np.ndarray | torch.Tensor) – T1 map of shape (nz, ny, nx) in [ms].

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