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Magnetic particle imaging for assessment of cerebral perfusion and ischemia

Authors :
Ludewig, Peter
Gräser, Matthias
Forkert, Nils Daniel
Thieben, Florian
Rández-Garbayo, Javier
Rieckhoff, Johanna Dorothea
Lessmann, Katrin
Förger, Fynn
Szwargulski, Patryk
Magnus, Tim
Knopp, Tobias
Publica
Source :
Wiley Interdisciplinary Reviews: WIREs. Nanomedicine and Nanobiotechnology 14 (1): e1757 (2021-02)
Publication Year :
2022

Abstract

Stroke is one of the leading worldwide causes of death and sustained disability. Rapid and accurate assessment of cerebral perfusion is essential to diagnose and successfully treat stroke patients. Magnetic particle imaging (MPI) is a new technology with the potential to overcome some limitations of established imaging modalities. It is an innovative and radiation-free imaging technique with high sensitivity, specificity, and superior temporal resolution. MPI enables imaging and diagnosis of stroke and other neurological pathologies such as hemorrhage, tumors, and inflammatory processes. MPI scanners also offer the potential for targeted therapies of these diseases. Due to lower field requirements, MPI scanners can be designed as resistive magnets and employed as mobile devices for bedside imaging. With these advantages, MPI could accelerate and improve the diagnosis and treatment of neurological disorders. This review provides a basic introduction to MPI, discusses its current use for stroke imaging, and addresses future applications, including the potential for clinical implementation. This article is categorized under: Diagnostic Tools > In Vivo Nanodiagnostics and Imaging Therapeutic Approaches and Drug Discovery > Nanomedicine for Neurological Disease. Forschungszentrum Medizintechnik Hamburg Deutsche Forschungsgemeinschaft (DFG) Hermann und Lily Schilling Stiftung Bundesministerium für Bildung und Forschung (BMBF)

Details

Language :
English
Database :
OpenAIRE
Journal :
Wiley Interdisciplinary Reviews: WIREs. Nanomedicine and Nanobiotechnology 14 (1): e1757 (2021-02)
Accession number :
edsair.dedup.wf.001..55b6e8187805bb39a8df934f42b8ebca