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Magnetic Particle Imaging: In vitro Signal Analysis and Lumen Quantification of 21 Endovascular Stents

Franz Wegner, Anselm von Gladiss, Julian Haegele, Ulrike Grzyska, Malte Maria Sieren, Erik Stahlberg, Thekla Helene Oechtering, Kerstin Lüdtke-Buzug, Joerg Barkhausen, Thorsten M Buzug, Thomas Friedrich

Abstract

Purpose: Endovascular stents are medical devices, which are implanted in stenosed blood vessels to ensure sufficient blood flow. Due to a high rate of in-stent re-stenoses, there is the need of a noninvasive imaging method for the early detection of stent occlusion. The evaluation of the stent lumen with computed tomography (CT) and magnetic resonance imaging (MRI) is limited by material-induced artifacts. The purpose of this work is to investigate the potential of the tracer-based modality magnetic particle imaging (MPI) for stent lumen visualization and quantification.
Methods: In this in vitro study, 21 endovascular stents were investigated in a preclinical MPI scanner. Therefore, the stents were implanted in vessel phantoms. For the signal analysis, the phantoms were scanned without tracer material, and the signal-to-noise-ratio was analyzed. For the evaluation of potential artifacts and the lumen quantification, the phantoms were filled with diluted tracer agent. To calculate the stent lumen diameter a calibrated threshold value was applied.

Results: We can show that it is possible to visualize the lumen of a variety of endovascular stents without material induced artifacts, as the stents do not generate sufficient signals in MPI. The stent lumen quantification showed a direct correlation between the calculated and nominal diameter (r = 0.98).

Conclusion: In contrast to MRI and CT, MPI is able to visualize and quantify stent lumina very accurately.
OriginalspracheEnglisch
ZeitschriftInternational Journal of Nanomedicine
Jahrgang16
Seiten (von - bis)213-221
Seitenumfang9
ISSN1176-9114
DOIs
PublikationsstatusVeröffentlicht - 11.01.2021

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

Strategische Forschungsbereiche und Zentren

  • Forschungsschwerpunkt: Biomedizintechnik

DFG-Fachsystematik

  • 2.22-30 Radiologie
  • 2.22-32 Medizinische Physik, Biomedizinische Technik

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