2018/05/15 by Volker Herold, Herold, Volker, Thomas Kampf +4
Engineering · Medicine · Physics and Astronomy · #Advanced Neuroimaging Techniques and Applications #FOS: Physical sciences #Instrumentation and Detectors (physics.ins-det) #Lattice Boltzmann Simulation Studies #Micro and Nano Robotics #physics.ins-det
paper · pdf · doi:10.48550/arxiv.1805.05723
4 pages, 3 figures
arxiv created 2018/05/15 · openalex publication_date 2018/05/15 · arxiv updated 2018/05/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We demonstrate the use of spatially encoded magnetic resonance to quantify ensemble dynamics of microscopic particles below the spatial resolution. By evaluating time series of k-space data-points, k-dependent motion patterns can be revealed in short measurement time. As no images have to be reconstructed, the proposed method operates directly in the data space of the measurement i.e. the k-space and allows to examine motion patterns by processing time series of just one k-space data-point. To proof the feasibility of this new technique we simulate the MR measurement with samples producing particle drift and brownian motion. MR experiments with sedimenting microspheres and rising air-bubbles verify the results of the simulations. This new technique is not limited by relaxation times and covers a wide field of applications for particle motion in opaque media.