Open Access Publications

The Institute's work is published in both traditional journals (e.g. the prestigious imaging journal IEEE Transactions on Medical Imaging) and open access journals. For traditional journals, a preprint is uploaded to ArXiv whenever possible to make the research results freely available.

In addition, Tobias Knopp, as Editor-in-Chief, has founded a new scientific Open Access journal, which makes all articles available under the Creative Commons License (CC-BY-4.0). The International Journal on MagneticParticle Imaging (IJMPI) was founded in 2015 and publishes new research developments within the MPI community.

Open Access Publications

[145061]
Title: Suppression of Motion Artifacts Caused by Temporally Recurring Tracer Distributions in Multi-Patch Magnetic Particle Imaging.
Written by: N. Gdaniec, M. Boberg, M. Möddel, P. Szwargulski, and T. Knopp
in: <em>IEEE Transactions on Medical Imaging</em>. November (2020).
Volume: <strong>39</strong>. Number: (11),
on pages: 3548-3558
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.1109/TMI.2020.2998910
URL: https://arxiv.org/abs/2205.01085
ARXIVID:
PMID:

[www]

Note: article, multi-patch, artifact, opendata, openaccess

Abstract: Magnetic particle imaging is a tracer based imaging technique to determine the spatial distribution of superparamagnetic iron oxide nanoparticles with a high spatial and temporal resolution. Due to physiological constraints, the imaging volume is restricted in size and larger volumes are covered by shifting object and imaging volume relative to each other. This results in reduced temporal resolution, which can lead to motion artifacts when imaging dynamic tracer distributions. A common source of such dynamic distributions are cardiac and respiratory motion in in-vivo experiments, which are in good approximation periodic. We present a raw data processing technique that combines data snippets into virtual frames corresponding to a specific state of the dynamic motion. The technique is evaluated on the basis of measurement data obtained from a rotational phantom at two different rotational frequencies. These frequencies are determined from the raw data without reconstruction and without an additional navigator signal. The reconstructed images give reasonable representations of the rotational phantom frozen in several different states of motion while motion artifacts are suppressed.