3D particle tracking velocimetry using dynamic discrete tomography

Andreas Alpers; Peter Gritzmann; Dmitry Moseev; Mirko Salewski

doi:10.1016/j.cpc.2014.10.022

3D particle tracking velocimetry using dynamic discrete tomography

Andreas Alpers, Peter Gritzmann, Dmitry Moseev, Mirko Salewski

Chair of Geometry

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15 Scopus citations

Abstract

Particle tracking velocimetry in 3D is becoming an increasingly important imaging tool in the study of fluid dynamics and combustion as well as plasmas. We introduce a dynamic discrete tomography algorithm for reconstructing particle trajectories from projections. The algorithm is efficient for data from two projection directions and exact in the sense that it finds a solution consistent with the experimental data. Non-uniqueness of solutions can be detected and solutions can be tracked individually.

Original language	English
Pages (from-to)	130-136
Number of pages	7
Journal	Computer Physics Communications
Volume	187
DOIs	https://doi.org/10.1016/j.cpc.2014.10.022
State	Published - 1 Feb 2015

Keywords

3D PTV
Discrete tomography
PTV
Particle tracking velocimetry

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10.1016/j.cpc.2014.10.022

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abstract = "Particle tracking velocimetry in 3D is becoming an increasingly important imaging tool in the study of fluid dynamics and combustion as well as plasmas. We introduce a dynamic discrete tomography algorithm for reconstructing particle trajectories from projections. The algorithm is efficient for data from two projection directions and exact in the sense that it finds a solution consistent with the experimental data. Non-uniqueness of solutions can be detected and solutions can be tracked individually.",

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author = "Andreas Alpers and Peter Gritzmann and Dmitry Moseev and Mirko Salewski",

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T1 - 3D particle tracking velocimetry using dynamic discrete tomography

AU - Alpers, Andreas

AU - Gritzmann, Peter

AU - Moseev, Dmitry

AU - Salewski, Mirko

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Y1 - 2015/2/1

N2 - Particle tracking velocimetry in 3D is becoming an increasingly important imaging tool in the study of fluid dynamics and combustion as well as plasmas. We introduce a dynamic discrete tomography algorithm for reconstructing particle trajectories from projections. The algorithm is efficient for data from two projection directions and exact in the sense that it finds a solution consistent with the experimental data. Non-uniqueness of solutions can be detected and solutions can be tracked individually.

AB - Particle tracking velocimetry in 3D is becoming an increasingly important imaging tool in the study of fluid dynamics and combustion as well as plasmas. We introduce a dynamic discrete tomography algorithm for reconstructing particle trajectories from projections. The algorithm is efficient for data from two projection directions and exact in the sense that it finds a solution consistent with the experimental data. Non-uniqueness of solutions can be detected and solutions can be tracked individually.

KW - 3D PTV

KW - Discrete tomography

KW - PTV

KW - Particle tracking velocimetry

UR - http://www.scopus.com/inward/record.url?scp=84919836473&partnerID=8YFLogxK

U2 - 10.1016/j.cpc.2014.10.022

DO - 10.1016/j.cpc.2014.10.022

M3 - Article

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SN - 0010-4655

VL - 187

SP - 130

EP - 136

JO - Computer Physics Communications

JF - Computer Physics Communications

ER -

3D particle tracking velocimetry using dynamic discrete tomography

Abstract

Keywords

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