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Item type:Publication, Access status: with files , Correction to: System characterization of a human-sized 3D real-time magnetic particle imaging scanner for cerebral applications (Communications Engineering, (2024), 3, 1, (47), 10.1038/s44172-024-00192-6)(Springer, 2024-12); ; ; ; Correction to: Communications Engineeringhttps://doi.org/10.1038/s44172-024-00192-6, published online 14 March 2024 Author correction: In the original version of this Article, financial support from the Open Access Publication Fund of UKE - Universitätsklinikum Hamburg-Eppendorf was not acknowledged. This has now been corrected in both the PDF and HTML versions of the Article. The Acknowledgements section needs to be revised to: We thank Florian Sevecke for technical support during the realization of numerous scanner components. We further thankfully acknowledge the financial support by the German Research Foundation (DFG, grant numbers KN 1108/7-1 and GR 5287/2-1). We also thank the developers of Makie.jl supporting us by answering technical questions when creating Figs. 3 and 4. Finally, we are grateful to Christian Findeklee for their discussions and insights into resonant circuit decoupling. We acknowledge financial support from the Open Access Publication Fund of UKE - Universitätsklinikum Hamburg-Eppendorf.Publicationtype: Corrigendum41 19 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , System characterization of a human-sized 3D real-time magnetic particle imaging scanner for cerebral applications(Springer, 2024-03-14); ; ; ; Since the initial patent in 2001, the Magnetic Particle Imaging community has endeavored to develop a human-applicable Magnetic Particle Imaging scanner, incorporating contributions from various research fields. Here we present an improved head-sized Magnetic Particle Imaging scanner with low power consumption, operated by open-source software and characterize it with an emphasis on human safety. The focus is on the evaluation of the technical components and on phantom experiments for brain perfusion. We achieved 3D single- and multi-contrast imaging at 4 Hz frame rate. The system characterization includes sensitivity, resolution, perfusion and multi-contrast experiments as well as field measurements and sequence analysis. Images were acquired with a clinically approved tracer and within human peripheral nerve stimulation thresholds. This advanced scanner holds potential as a tomographic imager for diagnosing conditions such as ischemic stroke (different stages) or intracranial hemorrhage in environments lacking electromagnetic shielding, such as the intensive care unit.Publicationtype: Journal Article23 47