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Regularized Optimal Mass Transport with Nonlinear Diffusion
- Publication Year :
- 2022
-
Abstract
- 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.
- Subjects :
- Physics - Fluid Dynamics
Physics - Medical Physics
Subjects
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2301.03428
- Document Type :
- Working Paper