Development of MR harmonization has enabled different contrast MRIs to be
synthesized while preserving the underlying anatomy. In this paper, we use
image harmonization to explore the impact of different T1-w MR contrasts on a
state-of-the-art ventricle parcellation algorithm VParNet. We identify an
optimal operating contrast (OOC) for ventricle parcellation; by showing that
the performance of a pretrained VParNet can be boosted by adjusting contrast to
the OOC