  In this paper, we combine nonlinear diffusion with the regularized optimal
mass transport (rOMT) model. As we will demonstrate, this new approach provides
further insights into certain applications of fluid flow analysis in the brain.
From the point of view of image processing, the anisotropic diffusion method,
based on Perona-Malik, explicitly considers edge information. Applied to rOMT
analysis of glymphatic transport based on DCE-MRI data, this new framework
appears to capture a larger advection-dominant volume.
