Visualizing fluid flows via regularized optimal mass transport with applications to neuroscience Journal Article

   


Authors: Chen, X.; Tran, A. P.; Elkin, R.; Benveniste, H.; Tannenbaum, A. R.
Article Title: Visualizing fluid flows via regularized optimal mass transport with applications to neuroscience
Abstract: The regularized optimal mass transport (rOMT) problem adds a diffusion term to the continuity equation in the original dynamic formulation of the optimal mass transport (OMT) problem proposed by Benamou and Brenier. We show that the rOMT model serves as a powerful tool in computational fluid dynamics for visualizing fluid flows in the glymphatic system. In the present work, we describe how to modify the previous numerical method for efficient implementation, resulting in a significant reduction in computational runtime. Numerical results applied to synthetic and real-data are provided. © 2023, The Author(s).
Keywords: fluid dynamics; flow of fluids; numerical methods; computational framework; transport properties; fluid-flow; optimal mass transport; continuity equations; mass transport model; fluid-dynamics; regularized optimal mass transport; computational fluid dynamics; diffusion in liquids; dynamics formulation; efficient implementation; transport problems
Journal Title: Journal of Scientific Computing
Volume: 97
Issue: 2
ISSN: 0885-7474
Publisher: Springer New York LLC  
Date Published: 2023-11-01
Start Page: 26
Language: English
DOI: 10.1007/s10915-023-02337-9
PROVIDER: scopus
PMCID: PMC11210720
PUBMED: 38938875
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171626929&doi=10.1007%2fs10915-023-02337-9&partnerID=40&md5=7068c6877d7971116129dbe0f6b65dec
Notes: Article -- MSK corresponding author is Xinan Chen -- Source: Scopus
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MSK Authors
  1. Rena Elkin
    15 Elkin
  2. Anh Phong Tran
    4 Tran
  3. Xinan Chen
    5 Chen
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