src.original.ETP_SRI package

Submodules

src.original.ETP_SRI.LinearFitting module

class src.original.ETP_SRI.LinearFitting.LinearFit(linear_cutoff=500)[source]

Bases: object

Performs linear fits of exponential data

accepted_dimensions()[source]

ivim_fit(bvalues, signal)[source]

Fit an IVIM curve This fits a bi-exponential curve using linear fitting only

Parameters

bvalueslist or array of float: The diffusion (b-values)
signallist or array of float: The acquired signal to fit. It is assumed to be exponential at this point

linear_fit(bvalues, signal, weighting=None, stats=False)[source]

Fit a single line

Parameters

bvalueslist or array of float: The diffusion (b-values)
signallist or array of float: The acquired signal to fit. It is assumed to be linearized at this point.
weightinglist or array fo float: Weights to pass into polyfit. None is no weighting.
statsboolean: If true, return the polyfit statistics

Module contents