deepmr.recon.fse_fit#
- deepmr.recon.fse_fit(input, t2grid, flip, ESP, phases=None)[source]#
Fit T2 from input Fast Spin Echo data.
- Parameters:
input (np.ndarray | torch.Tensor) – Input image series of shape (ncontrasts, nz, ny, nx).
t2grid (Iterable[float]) – T2 grid (start, stop, nsteps) in [ms].
flip (np.ndarray | torch.Tensor) – Refocusing flip angles in [deg].
ESP (float) – Echo spacing in [ms].
phases (np.ndarray | torch.Tensor, optional) – Refocusing pulses phases. The default is 0 * flip.
- Returns:
m0 (np.ndarray | torch.Tensor) – Proton Density map of shape (nz, ny, nx).
t2map (np.ndarray | torch.Tensor) – T2 map of shape (nz, ny, nx) in [ms].