3D particle tracking velocimetry using dynamic discrete tomography

TL;DR

This paper presents a novel dynamic discrete tomography algorithm for 3D particle tracking velocimetry, enabling efficient and exact reconstruction of particle trajectories from limited projection data, with capabilities to detect non-uniqueness and track solutions individually.

Contribution

The paper introduces a new algorithm that efficiently reconstructs 3D particle trajectories from two projections, ensuring solution accuracy and tracking individual particles.

Findings

Efficient reconstruction from two projection directions.

Exact solutions consistent with experimental data.

Ability to detect non-uniqueness and track particles individually.

Abstract

Particle tracking velocimetry in 3D is becoming an increasingly important imaging tool in the study of fluid dynamics, 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.