Unbalanced regularized optimal mass transport with applications to fluid flows in the brain

Author:

Chen Xinan,Benveniste Helene,Tannenbaum Allen R.

Abstract

AbstractAs a generalization of the optimal mass transport (OMT) approach of Benamou and Brenier’s, the regularized optimal mass transport (rOMT) formulates a transport problem from an initial mass configuration to another with the optimality defined by the total kinetic energy, but subject to an advection-diffusion constraint equation. Both rOMT and the Benamou and Brenier’s formulation require the total initial and final masses to be equal; mass is preserved during the entire transport process. However, for many applications, e.g., in dynamic image tracking, this constraint is rarely if ever satisfied. Therefore, we propose to employ an unbalanced version of rOMT to remove this constraint together with a detailed numerical solution procedure and applications to analyzing fluid flows in the brain.

Funder

Air Force Office of Scientific Research

Army Research Office

NIH

Cure Alzheimer’s Foundation

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference44 articles.

1. Monge, G. Mémoire sur la théorie des déblais et des remblais. Hist. Acad. R. Sci. Paris (1781).

2. Kantorovich, L. V. On a problem of monge. CR (Doklady) Acad. Sci. URSS (NS) 3, 225–226 (1948).

3. Villani, C. Topics in Optimal Transportation (American Mathematical Soc., 2003).

4. Villani, C. Optimal Transport: Old and New Vol. 338 (Springer, Berlin, 2008).

5. Benamou, J.-D. & Brenier, Y. A computational fluid mechanics solution to the Monge-Kantorovich mass transfer problem. Numer. Math. 84, 375–393 (2000).

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