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Removing rician bias before fitting

nightwnvol edited this page Jul 5, 2024 · 8 revisions

In a Python shell, import the AMICO library and instantiate an Evaluation object:

import amico

ae = amico.Evaluation()

Before loading your data, activate Rician debias and set the signal-to-noise ratio (SNR) level with the set_config() method:

ae.set_config('doDebiasSignal', True)
ae.set_config('DWI-SNR', 30.0)

You can then proceed loading your DWI data, as well as setting the microstructure model to fit as described in the Tutorials.