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].