DTI `min_signal`

This should deal with issues raised here: 

https://github.com/nipy/dipy/pull/496

without reverting. Still needs a bit of a refactor, to remove spurious checks and references to `min_signal`
How about testing both?

https://github.com/nipy/dipy/pull/501

On Fri, Dec 12, 2014 at 2:42 PM, MrBago <notifications@github.com> wrote:
>
> In dipy/reconst/tests/test_dti.py
> <https://github.com/nipy/dipy/pull/498#discussion-diff-21778464>:
>
> >      dm = dti.TensorModel(gtab, 'LS')
> >      dtifit = dm.fit(data[0, 0, 0])
> > -    assert_equal(dtifit.fa < 0.5, True)
> > +    assert_equal(dtifit.fa < 0.9, True)
>
> Should we change this back, I'd like to test with at least 1 b0-less data
> set.
>
> —
> Reply to this email directly or view it on GitHub
> <https://github.com/nipy/dipy/pull/498/files#r21778464>.
>