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The DWI dataset class should be responsible for deciding what's a b=0 and what are valid b values (given the minimum threshold) and likewise, saturate (given a maximum b) or manipulate (e.g., cluster b-values of a DSI into shells, clean up effective gradients that are close to the nominal value of a shell but not exactly) b-values when necessary.
The DWI dataset class should be responsible for deciding what's a b=0 and what are valid b values (given the minimum threshold) and likewise, saturate (given a maximum b) or manipulate (e.g., cluster b-values of a DSI into shells, clean up effective gradients that are close to the nominal value of a shell but not exactly) b-values when necessary.
I'm removing this feature from model in #62.
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