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Moving table magnetic particle imaging: A stepwise approach preserving high spatio-temporal resolution

Patryk Szwargulski*, Nadine Gdaniec, Matthias Graeser, Martin Mäddel, Florian Griese, Kannan M. Krishnan, Thorsten M. Buzug, Tobias Knoppa

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

Magnetic particle imaging (MPI) is a highly sensitive imaging method that enables the visualization of magnetic tracer materials with a temporal resolution of more than 46 volumes per second. In MPI, the size of the field of view (FoV) scales with the strengths of the applied magnetic fields. In clinical applications, those strengths are limited by peripheral nerve stimulation, specific absorption rates, and the requirement to acquire images of high spatial resolution. Therefore, the size of the FoV is usually a few cubic centimeters. To bypass this limitation, additional focus fields and/or external object movements can be applied. The latter approach is investigated. An object is moved through the scanner bore one step at a time, whereas the MPI scanner continuously acquires data from its static FoV. Using a 3-D phantom and dynamic 3-D in vivo data, it is shown that the data from such a moving table experiment can be jointly reconstructed after reordering the data with respect to the stepwise object shifts and heart beat phases.

OriginalspracheEnglisch
Aufsatznummer046002
ZeitschriftJournal of Medical Imaging
Jahrgang5
Ausgabenummer4
ISSN2329-4302
DOIs
PublikationsstatusVeröffentlicht - 01.10.2018

Fördermittel

P. S., N. G., M. G., M. M., F. G., and T. K. thankfully acknowledge financial support by the German Research Foundation (DFG, Grant No. KN 1108/2-1) and the Federal Ministry of Education and Research (BMBF, Grant No. 05M16GKA). T. M. B. thankfully acknowledges financial support by the German Research Foundation (DFG, Grant No. BU 1436/9-1). We thank P. Ludewig for animal handling during the animal experiments. We also thank the anonymous reviewers for their very helpful comments that helped us to improve the manuscript.

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen
  2. SDG 9 – Industrie, Innovation und Infrastruktur
    SDG 9 – Industrie, Innovation und Infrastruktur

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