Skip to main content
Ctrl+K
MRI-nufft Documentation - Home
  • Getting Started
  • Examples
  • API
  • Explanations
    • Related Projects
    • Contributors
    • Code of Conduct
    • License
    • Developing MRI-nufft
  • GitHub
  • Getting Started
  • Examples
  • API
  • Explanations
  • Related Projects
  • Contributors
  • Code of Conduct
  • License
  • Developing MRI-nufft
  • GitHub

Section Navigation

  • mrinufft
  • mrinufft.operators
    • check_backend
    • get_operator
    • list_backends
    • kspace_as_real
    • kspace_as_cpx
    • image_as_real
    • image_as_cpx
    • FourierOperatorBase
    • MRIFourierCorrected
    • MRIStackedNUFFT
    • MRISubspace
    • MRICartesianOperator
    • MRICufiNUFFT
    • MRIStackedNUFFTGPU
    • MRIBartNUFFT
    • MRIDUCC0
    • MRIfinufft
    • MRIGpuNUFFT
    • MRInfft
    • MRInumpy
    • MRIPynufft
    • MRISigpyNUFFT
    • MRITensorflowNUFFT
    • TorchKbNUFFTcpu
    • TorchKbNUFFTgpu
  • mrinufft.trajectories
    • R2D
    • Ra
    • Rv
    • Rx
    • Ry
    • Rz
    • get_closest_fibonacci_number
    • initialize_2D_cones
    • initialize_2D_eccentric
    • initialize_2D_fibonacci_spiral
    • initialize_2D_lissajous
    • initialize_2D_polar_lissajous
    • initialize_2D_propeller
    • initialize_2D_radial
    • initialize_2D_random_walk
    • initialize_2D_rings
    • initialize_2D_rosette
    • initialize_2D_sinusoide
    • initialize_2D_spiral
    • initialize_2D_travelling_salesman
    • initialize_2D_vds_spiral
    • initialize_2D_waves
    • initialize_3D_annular_shells
    • initialize_3D_cones
    • initialize_3D_eccentric
    • initialize_3D_floret
    • initialize_3D_golden_means_radial
    • initialize_3D_helical_shells
    • initialize_3D_park_radial
    • initialize_3D_phyllotaxis_radial
    • initialize_3D_random_walk
    • initialize_3D_repi
    • initialize_3D_seiffert_shells
    • initialize_3D_seiffert_spiral
    • initialize_3D_travelling_salesman
    • initialize_3D_turbine
    • initialize_3D_wave_caipi
    • initialize_3D_wong_radial
    • conify
    • duplicate_along_axes
    • epify
    • get_grappa_caipi_positions
    • get_packing_spacing_positions
    • get_random_loc_1d
    • oversample
    • precess
    • prewind
    • radialize_center
    • rewind
    • rotate
    • shellify
    • stack
    • stack_random
    • stack_spherically
    • unepify
    • check_hardware_constraints
    • compute_gradients_and_slew_rates
    • connect_gradient
    • convert_gradients_to_slew_rates
    • convert_gradients_to_trajectory
    • convert_slew_rates_to_gradients
    • convert_trajectory_to_gradients
    • create_chauffert_density
    • create_cutoff_decay_density
    • create_energy_density
    • create_fast_chauffert_density
    • create_polynomial_density
    • get_prephasors_and_spoilers
    • initialize_algebraic_spiral
    • initialize_shape_norm
    • initialize_tilt
    • min_length_connection
    • normalize_trajectory
    • parameterize_by_arc_length
    • patch_center_anomaly
    • project_trajectory
    • sample_from_density
    • unnormalize_trajectory
    • Acquisition
    • FloatEnum
    • Gammas
    • GradientLinearProjection
    • GroupL2SoftThresholding
    • Hardware
    • NormShapes
    • Packings
    • SiemensGradient
    • Spirals
    • StrEnum
    • Tilts
    • VDSorder
    • VDSpdf
  • mrinufft.display
    • display_2D_trajectory
    • display_3D_trajectory
    • display_gradients
    • display_gradients_simply
    • get_gridded_trajectory
    • displayConfig
  • mrinufft.density
    • cell_count
    • flat_traj
    • get_density
    • pipe
    • voronoi
  • mrinufft.io
    • add_phase_to_kspace_with_shifts
    • cfl2traj
    • pulseq_gre
    • read_arbgrad_rawdat
    • read_pulseq_traj
    • read_siemens_rawdat
    • read_trajectory
    • remove_extra_kspace_samples
    • siemens_quat_to_rot_mat
    • traj2cfl
    • write_gradients
    • write_trajectory
  • mrinufft.extras
    • cartesian_espirit
    • coil_compression
    • espirit
    • fft
    • fse_simulation
    • get_brainweb_map
    • get_complex_fieldmap_rad
    • get_optimizer
    • get_orc_factorization
    • get_smaps
    • ifft
    • loss_l2_AHreg
    • loss_l2_reg
    • low_frequency
    • make_b0map
    • make_t2smap
  • API
  • mrinufft.extras
  • get_smaps

get_smaps#

mrinufft.extras.get_smaps(method_name, *args, **kwargs)[source]#

Get the smaps function from its name.

Example using get_smaps:#

Learn Sampling pattern for multi-coil MRI

Learn Sampling pattern for multi-coil MRI

Sensitivity maps estimation

Sensitivity maps estimation

previous

get_orc_factorization

next

ifft

© Copyright 2022, MRI-NUFFT Contributors.

Created using Sphinx 8.1.3.

Built with the PyData Sphinx Theme 0.15.4.