990702bedcfd4bfd62b3c96f82a26fd8e1b6354a,dipy/segment/mask.py,,segment_from_cfa,#Any#Any#Any#,226

Before Change

    if (np.min(threshold) < 0 or np.max(threshold) > 1):
        raise ValueError("threshold must be between 0 and 1")

    if (np.min(cfa) < 0 or np.max(cfa) > 1):
        raise ValueError("cfa must be between 0 and 1")

    if cfa.shape[-1] != 3:
        raise ValueError("cfa last dimension must be of length 3")

    // Nibabel doesn"t save binary data, so we upcast to something else

After Change

        Binary mask of the segmentation.
    

    FA = fractional_anisotropy(tensorfit.evals)
    FA[np.isnan(FA)] = 0
    FA = np.clip(FA, 0, 1)  // Clamp the FA to remove degenerate tensors

    cfa = color_fa(FA, tensorfit.evecs)

    return np.all(((cfa >= threshold[0::2]) & (cfa <= threshold[1::2]) & ROI[..., None]), axis=-1)

Instances