Python Sparse data Analysis Package external MRI plugin.

Note

This page is a reference documentation. It only explains the class signature, and not how to use it. Please refer to the gallery for the big picture.

class mri.operators.proximity.ordered_weighted_l1_norm.OWL(alpha, beta, bands_shape, n_coils, mode='band_based', n_jobs=1)[source]¶

This class handles reshaping coefficients based on mode and feeding in right format the OWL operation to OrderedWeightedL1Norm

Parameters

alpha : float

value of alpha for parameterizing weights

beta : float

value of beta for parameterizing weights

band_shape : list of tuples

the shape of all bands, this corresponds to linear_op.coeffs_shape

n_coils : int

number of channels

mode : string ‘all’ | ‘band_based’ | ‘coeff_based’, default ‘band_based’

Mode of operation of proximity: all -> on all coefficients in all channels band_based -> on all coefficients in each band coeff_based -> on all coefficients but across each channel

n_jobs : int, default 1

number of cores to be used for operation