GlymphVIS: Visualizing Glymphatic Transport Pathways Using Regularized Optimal Transport.

We present here a novel visualization framework, GlymphVIS, which uses regularized optimal transport (OT) to study the flow behavior between time points at which the images are taken. Using this regularized OT app-roach, we can incorporate diffusion, handle noise, and accurately capture and visualize the time varying dynamics in GS transport. Moreover, we are able to reduce the registration mean-squared and infinity-norm error across time points by up to a factor of 5 as compared to the current state-of-the-art method. Our visualization pipeline yields flow patterns that align well with experts' current findings of the glymphatic system. PMID: 30906935 [PubMed - in process]

https://www.ncbi.nlm.nih.gov/pubmed/30906935?dopt=Abstract

Source: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention - March 25, 2019 Category: Radiology Tags: Med Image Comput Comput Assist Interv Source Type: research