title: Simulation of microcirculatory hemodynamics: estimation of boundary condition using particle swarm optimization.
abstract: Estimation of the boundary condition is a critical problem in simulating hemodynamics in microvascular networks. This paper proposed a boundary estimation strategy based on a particle swarm optimization (PSO) algorithm, which aims to minimize the number of vessels with inverted flow direction in comparison to the experimental observation. The algorithm took boundary values as the particle swarm and updated the position of the particles iteratively to approach the optimization target. The method was tested in a real rat mesenteric network. With random initial boundary values, the method achieved a minimized 9 segments with an inverted flow direction in the network with 546 vessels. Compared with reported literature, the current work has the advantage of a better fit with experimental observations and is more suitable for the boundary estimation problem in pulsatile hemodynamic models due to the experiment-based optimization target selection.
authors.affiliation: College of Information Engineering, Zhejiang University of Technology, 310023 Hangzhou, China.
authors.forename: Qing
authors.initials: Q
authors.lastname: Pan
authors.affiliation: Department of Biomedical Engineering, Key Laboratory of Biomedical Engineering of MOE, Zhejiang University, 310027 Hangzhou, China.
authors.forename: Ruofan
authors.initials: R
authors.lastname: Wang
authors.affiliation: Department of Physiology and CCR, Charité, Charitéplatz 1, 10117 Berlin, Germany.
authors.forename: Bettina
authors.initials: B
authors.lastname: Reglin
authors.affiliation: College of Information Engineering, Zhejiang University of Technology, 310023 Hangzhou, China.
authors.forename: Luping
authors.initials: L
authors.lastname: Fang
authors.affiliation: Department of Physiology and CCR, Charité, Charitéplatz 1, 10117 Berlin, Germany Deutsches Herzzentrum Berlin, Augustenburger Platz 1, D-13353 Berlin, Germany.
authors.forename: Axel R
authors.initials: AR
authors.lastname: Pries
authors.affiliation: Department of Biomedical Engineering, Key Laboratory of Biomedical Engineering of MOE, Zhejiang University, 310027 Hangzhou, China.
authors.forename: Gangmin
authors.initials: G
authors.lastname: Ning
mesh_terms: D000465:Algorithms; D000818:Animals; D001783:Blood Flow Velocity / Q000502:physiology*; D001794:Blood Pressure / Q000502:physiology*; D001809:Blood Viscosity; D003198:Computer Simulation; D008638:Mesenteric Arteries / Q000502:physiology*; D008833:Microcirculation / Q000502:physiology*; D055806:Microvessels / Q000502:physiology*; D008955:Models, Cardiovascular; D051381:Rats; D033081:Shear Strength / Q000502:physiology
keywords: Microcirculation; boundary condition; mathematical model; particle swarm optimization