@vperetroukhin just trying to understand if I am understanding this correctly:
- The focus-masked region (F*V_k) is added to a volume where the focused region is zeroed out and density outside the focus mask mask from the consensus reconstruction is included ((1-F)*barV))
- This is then multiplied by the solvent mask to give the class volume.
Is this right? What is the effect of replacing the voxels outside the focus mask with those from the consensus reconstruction, rather than just masking them out? I.e. why use both, and not just a single mask covering the region of interest? Apologies, I think I am being dim…
And if this masking approach is beneficial for 3D classification, could/should it also be applied to 3D-VA or local refinement?