tools.ncalib#
- bartorch.tools.ncalib()#
Estimate coil sensitivities using ENLIVE calibration.
Runs
bart ncalib.- Parameters:
kspace (torch.Tensor) – Input array.
g (bool, default=False) – use gpu (
-g)t (torch.Tensor | None, default=None) – kspace trajectory (
-t)p (torch.Tensor | None, default=None) – kspace pattern (
-p)B (torch.Tensor | None, default=None) – subspace basis (
-B)r (tuple[int, int, int] | None, default=None) – Limits the size of the calibration region. (
-r)i (int | None, default=None) – Number of Newton steps (
-i)cgiter (int | None, default=None) – (iterations for linearized problem) (
--cgiter)cgtol (float | None, default=None) – (tolerance for linearized problem) (
--cgtol)alpha (float | None, default=None) – (alpha in first iteration) (
--alpha)M (float | None, default=None) – (minimum for regularization) (
-M)a (float | None, default=None) – (a in 1 + a * Laplace^-b/2) (
-a)b (float | None, default=None) – (b in 1 + a * Laplace^-b/2) (
-b)c (float | None, default=None) – (c in 1 + a * Laplace^-b/2) (
-c)w (float | None, default=None) – (inverse scaling of the data) (
-w)o (bool, default=False) – return oversampled coils (
-o)sms (bool, default=False) – sms reconstruction (FFT in slice dimension) (
--sms)sos (bool, default=False) – sos reconstruction (ucFFT and Sobolev regularization in slice dimension) (
--sos)N (bool, default=False) – Normalize coil sensitivities (
-N)m (int | None, default=None) – Number of ENLIVE maps to use in reconstruction (
-m)dims (tuple[int, int, int] | None, default=None) – Explicitly specify sens dimensions (
-x)sens_os (float | None, default=None) – (over-sampling factor for sensitivities) (
--sens-os)shared_img_dims (int | tuple[int, ...] | None, default=None) – Axes the image is shared along. (
--shared-img-dims)shared_col_dims (int | tuple[int, ...] | None, default=None) – Axes the coil sensitivities are shared along. (
--shared-col-dims)scale_loop_dims (int | tuple[int, ...] | None, default=None) – Scale the parameters as if ncalib were looped over these axes. (
--scale-loop-dims)phase_pole (int | None, default=None) – Use phase pole detection after d iterations (0 for every iteration) (
--phase-pole)nufft_conf (str | None, default=None) – configure nufft (
--nufft-conf)**extra (Any) – Further BART flags, passed through by name.
- Returns:
sensitivities
- Return type:
torch.Tensor
