Index

A

Accuracy (class in tensorflow_mri.metrics) adjoint() (in module tensorflow_mri.recon) admm_minimize() (in module tensorflow_mri.convex)

atanfilt() (in module tensorflow_mri.signal) AveragePooling1D (class in tensorflow_mri.layers) AveragePooling2D (class in tensorflow_mri.layers) AveragePooling3D (class in tensorflow_mri.layers)

B

batch_shape (ConvexFunction property) batch_shape_tensor() (ConvexFunction method)

block_soft_threshold() (in module tensorflow_mri.math) broadcast_dynamic_shapes() (in module tensorflow_mri) broadcast_static_shapes() (in module tensorflow_mri)

C

call() (AveragePooling1D method) (AveragePooling2D method) (AveragePooling3D method) (ConfusionLoss method) (ConvBlock method) (ConvexFunction method) (MaxPooling1D method) (MaxPooling2D method) (MaxPooling3D method) (UNet method) cartesian_product() (in module tensorflow_mri) central_crop() (in module tensorflow_mri) close() (in module tensorflow_mri.plot) CoilCompressorSVD (class in tensorflow_mri.coils) combine_coils() (in module tensorflow_mri.coils) compress_coils() (in module tensorflow_mri.coils) ConfusionLoss (class in tensorflow_mri.losses) ConfusionMetric (class in tensorflow_mri.metrics) conj() (ConvexFunction method) conjugate_gradient() (in module tensorflow_mri.linalg) Conv1D (class in tensorflow_mri.layers)

Conv2D (class in tensorflow_mri.layers) Conv3D (class in tensorflow_mri.layers) ConvBlock (class in tensorflow_mri.layers) ConvBlock1D (class in tensorflow_mri.models) ConvBlock2D (class in tensorflow_mri.models) ConvBlock3D (class in tensorflow_mri.models) ConvexFunction (class in tensorflow_mri.convex) ConvexFunctionAffineMappingComposition (class in tensorflow_mri.convex) ConvexFunctionIndicatorBall (class in tensorflow_mri.convex) ConvexFunctionIndicatorL1Ball (class in tensorflow_mri.convex) ConvexFunctionIndicatorL2Ball (class in tensorflow_mri.convex) ConvexFunctionL1Norm (class in tensorflow_mri.convex) ConvexFunctionL1Wavelet (class in tensorflow_mri.convex) ConvexFunctionL2Norm (class in tensorflow_mri.convex) ConvexFunctionL2NormSquared (class in tensorflow_mri.convex) ConvexFunctionLeastSquares (class in tensorflow_mri.convex) ConvexFunctionLinearOperatorComposition (class in tensorflow_mri.convex) ConvexFunctionNorm (class in tensorflow_mri.convex) ConvexFunctionQuadratic (class in tensorflow_mri.convex) ConvexFunctionTikhonov (class in tensorflow_mri.convex) ConvexFunctionTotalVariation (class in tensorflow_mri.convex) crop_kspace() (in module tensorflow_mri.signal)

D

density_grid() (in module tensorflow_mri.sampling) display_image() (TensorBoardImages method) domain_dimension (ConvexFunction property) domain_dimension_tensor() (ConvexFunction method) dtype (ConvexFunction property)

dwt() (in module tensorflow_mri.signal) DWT1D (class in tensorflow_mri.layers) DWT2D (class in tensorflow_mri.layers) DWT3D (class in tensorflow_mri.layers) dynamic_axis (LinearOperatorMRI property) dynamic_domain (LinearOperatorMRI property)

E

encode_gif() (in module tensorflow_mri.io) estimate_density() (in module tensorflow_mri.sampling) estimate_radial_density() (in module tensorflow_mri.sampling) estimate_sensitivities() (in module tensorflow_mri.coils) expand_density() (in module tensorflow_mri.sampling)

expand_trajectory() (in module tensorflow_mri.sampling) explained_variance (CoilCompressorSVD property) explained_variance_ratio (CoilCompressorSVD property) extract_from_complex() (in module tensorflow_mri.math) extract_glimpses() (in module tensorflow_mri.image)

F

F1Loss (class in tensorflow_mri.losses) F1Score (class in tensorflow_mri.metrics) FBetaScore (class in tensorflow_mri.metrics) fft() (in module tensorflow_mri.signal)

filter_kspace() (in module tensorflow_mri.signal) fit() (CoilCompressorSVD method) flatten_density() (in module tensorflow_mri.sampling) flatten_trajectory() (in module tensorflow_mri.sampling) FocalTverskyLoss (class in tensorflow_mri.losses)

G

get_config() (ConfusionLoss method) (ConfusionMetric method) (ConvBlock method) (F1Loss method) (F1Score method) (FBetaScore method) (FocalTverskyLoss method) (IoU method) (IoULoss method) (TverskyIndex method) (TverskyLoss method) (UNet method)

gif() (in module tensorflow_mri.summary) GlorotNormal (class in tensorflow_mri.initializers) GlorotUniform (class in tensorflow_mri.initializers) gmsd() (in module tensorflow_mri.image) gmsd2d() (in module tensorflow_mri.image) gmsd3d() (in module tensorflow_mri.image) gradient_descent() (in module tensorflow_mri.optimize) gradient_magnitude() (in module tensorflow_mri.image) grappa() (in module tensorflow_mri.recon)

H

hamming() (in module tensorflow_mri.signal) hann() (in module tensorflow_mri.signal)

HeNormal (class in tensorflow_mri.initializers) HeUniform (class in tensorflow_mri.initializers)

I

idwt() (in module tensorflow_mri.signal) IDWT1D (class in tensorflow_mri.layers) IDWT2D (class in tensorflow_mri.layers) IDWT3D (class in tensorflow_mri.layers) ifft() (in module tensorflow_mri.signal) image_gradients() (in module tensorflow_mri.image) image_sequence() (in module tensorflow_mri.plot) image_shape (LinearOperatorMRI property) indicator_ball() (in module tensorflow_mri.math)

indicator_box() (in module tensorflow_mri.math) indicator_simplex() (in module tensorflow_mri.math) IoU (class in tensorflow_mri.metrics) IoULoss (class in tensorflow_mri.losses) is_cartesian (LinearOperatorMRI property) is_dynamic (LinearOperatorMRI property) is_multicoil (LinearOperatorMRI property) is_non_cartesian (LinearOperatorMRI property) is_phase_constrained (LinearOperatorMRI property)

L

lbfgs_minimize() (in module tensorflow_mri.optimize) least_squares() (in module tensorflow_mri.recon) LecunNormal (class in tensorflow_mri.initializers) LecunUniform (class in tensorflow_mri.initializers) LinearOperator (class in tensorflow_mri.linalg) LinearOperatorAddition (class in tensorflow_mri.linalg) LinearOperatorAdjoint (class in tensorflow_mri.linalg) LinearOperatorComposition (class in tensorflow_mri.linalg)

LinearOperatorDiag (class in tensorflow_mri.linalg) LinearOperatorFiniteDifference (class in tensorflow_mri.linalg) LinearOperatorGramMatrix (class in tensorflow_mri.linalg) LinearOperatorGramMRI (class in tensorflow_mri.linalg) LinearOperatorGramNUFFT (class in tensorflow_mri.linalg) LinearOperatorMRI (class in tensorflow_mri.linalg) LinearOperatorNUFFT (class in tensorflow_mri.linalg) LinearOperatorScaledIdentity (class in tensorflow_mri.linalg) LinearOperatorWavelet (class in tensorflow_mri.linalg)

M

make_val_and_grad_fn() (in module tensorflow_mri.math) max_wavelet_level() (in module tensorflow_mri.signal) MaxPooling1D (class in tensorflow_mri.layers) MaxPooling2D (class in tensorflow_mri.layers) MaxPooling3D (class in tensorflow_mri.layers) meshgrid() (in module tensorflow_mri) module tensorflow_mri tensorflow_mri.array tensorflow_mri.callbacks tensorflow_mri.coils tensorflow_mri.convex tensorflow_mri.image tensorflow_mri.initializers tensorflow_mri.io tensorflow_mri.layers tensorflow_mri.linalg tensorflow_mri.losses tensorflow_mri.math tensorflow_mri.metrics tensorflow_mri.models tensorflow_mri.optimize tensorflow_mri.plot tensorflow_mri.recon tensorflow_mri.sampling tensorflow_mri.signal tensorflow_mri.summary

N

name (ConvexFunction property) ndim_tensor() (ConvexFunction method) NegativePredictiveValue (class in tensorflow_mri.metrics)

normalize_no_nan() (in module tensorflow_mri.math) nufft() (in module tensorflow_mri.signal) num_coils (LinearOperatorMRI property)

O

on_epoch_end() (TensorBoardImages method)

P

parse_twix() (in module tensorflow_mri.io) partial_fourier() (in module tensorflow_mri.recon) phantom() (in module tensorflow_mri.image) PositivePredictiveValue (class in tensorflow_mri.metrics) project_onto_ball() (in module tensorflow_mri.math) project_onto_box() (in module tensorflow_mri.math)

project_onto_simplex() (in module tensorflow_mri.math) prox() (ConvexFunction method) PSNR (class in tensorflow_mri.metrics) psnr() (in module tensorflow_mri.image) psnr2d() (in module tensorflow_mri.image) psnr3d() (in module tensorflow_mri.image)

R

radial_density() (in module tensorflow_mri.sampling) radial_trajectory() (in module tensorflow_mri.sampling) radial_waveform() (in module tensorflow_mri.sampling) random_mask() (in module tensorflow_mri.sampling)

rank (LinearOperatorMRI property) ravel_multi_index() (in module tensorflow_mri) reset_state() (ConfusionMetric method) resize_with_crop_or_pad() (in module tensorflow_mri) result() (ConfusionMetric method)

S

scale (ConvexFunction property) scale_by_min_max() (in module tensorflow_mri) sense() (in module tensorflow_mri.recon) shape (ConvexFunction property) shape_tensor() (ConvexFunction method) show() (in module tensorflow_mri.plot) shrinkage() (in module tensorflow_mri.math) singular_values (CoilCompressorSVD property) soft_threshold() (in module tensorflow_mri.math) spiral_trajectory() (in module tensorflow_mri.sampling) SSIM (class in tensorflow_mri.metrics)

ssim() (in module tensorflow_mri.image) ssim2d() (in module tensorflow_mri.image) ssim2d_multiscale() (in module tensorflow_mri.image) ssim3d() (in module tensorflow_mri.image) ssim3d_multiscale() (in module tensorflow_mri.image) ssim_loss() (in module tensorflow_mri.losses) ssim_multiscale() (in module tensorflow_mri.image) ssim_multiscale_loss() (in module tensorflow_mri.losses) SSIMLoss (class in tensorflow_mri.losses) SSIMMultiscale (class in tensorflow_mri.metrics) SSIMMultiscaleLoss (class in tensorflow_mri.losses)

T

tensor_to_wavelet_coeffs() (in module tensorflow_mri.signal) TensorBoardImages (class in tensorflow_mri.callbacks) tensorflow_mri module tensorflow_mri.array module tensorflow_mri.callbacks module tensorflow_mri.coils module tensorflow_mri.convex module tensorflow_mri.image module tensorflow_mri.initializers module tensorflow_mri.io module tensorflow_mri.layers module tensorflow_mri.linalg module tensorflow_mri.losses module tensorflow_mri.math module

tensorflow_mri.metrics module tensorflow_mri.models module tensorflow_mri.optimize module tensorflow_mri.plot module tensorflow_mri.recon module tensorflow_mri.sampling module tensorflow_mri.signal module tensorflow_mri.summary module tiled_image() (in module tensorflow_mri.plot) tiled_image_sequence() (in module tensorflow_mri.plot) total_variation() (in module tensorflow_mri.image) transform() (CoilCompressorSVD method) TrueNegativeRate (class in tensorflow_mri.metrics) TruePositiveRate (class in tensorflow_mri.metrics) TverskyIndex (class in tensorflow_mri.metrics) TverskyLoss (class in tensorflow_mri.losses)

U

UNet (class in tensorflow_mri.layers) UNet1D (class in tensorflow_mri.models) UNet2D (class in tensorflow_mri.models)

UNet3D (class in tensorflow_mri.models) unravel_index() (in module tensorflow_mri) update_state() (ConfusionMetric method) update_tensor() (in module tensorflow_mri.array)

V

VarianceScaling (class in tensorflow_mri.initializers)

W

wavedec() (in module tensorflow_mri.signal)

wavelet_coeffs_to_tensor() (in module tensorflow_mri.signal) waverec() (in module tensorflow_mri.signal)