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Magnetic Particle Imaging for Real-Time Perfusion Imaging in Acute Stroke

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Department of Neurology, Section for Biomedical Imaging, §Department for Neuroradiological Diagnosis and Intervention, and Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
Institute for Biomedical Imaging, Hamburg University of Technology, 21071 Hamburg, Germany
# Department of Radiology and Hotchkiss Brain Institute, University of Calgary, Calgary, AB T2N 1N4, Canada
LodeSpin Laboratories LLC, Seattle, Washington 98103, United States
Materials Science and Engineering Department, University of Washington, Seattle, Washington 98195, United States
Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States
Department of Neurology and Neurosurgery, University of Warmia and Mazury, Olsztyn, Poland
*E-mail: [email protected]. Phone: +49 40741018800.
Cite this: ACS Nano 2017, 11, 10, 10480–10488
Publication Date (Web):October 4, 2017
Copyright © 2017 American Chemical Society

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    Abstract Image

    The fast and accurate assessment of cerebral perfusion is fundamental for the diagnosis and successful treatment of stroke patients. Magnetic particle imaging (MPI) is a new radiation-free tomographic imaging method with a superior temporal resolution, compared to other conventional imaging methods. In addition, MPI scanners can be built as prehospital mobile devices, which require less complex infrastructure than computed tomography (CT) and magnetic resonance imaging (MRI). With these advantages, MPI could accelerate the stroke diagnosis and treatment, thereby improving outcomes. Our objective was to investigate the capabilities of MPI to detect perfusion deficits in a murine model of ischemic stroke. Cerebral ischemia was induced by inserting of a microfilament in the internal carotid artery in C57BL/6 mice, thereby blocking the blood flow into the medial cerebral artery. After the injection of a contrast agent (superparamagnetic iron oxide nanoparticles) specifically tailored for MPI, cerebral perfusion and vascular anatomy were assessed by the MPI scanner within seconds. To validate and compare our MPI data, we performed perfusion imaging with a small animal MRI scanner. MPI detected the perfusion deficits in the ischemic brain, which were comparable to those with MRI but in real-time. For the first time, we showed that MPI could be used as a diagnostic tool for relevant diseases in vivo, such as an ischemic stroke. Due to its shorter image acquisition times and increased temporal resolution compared to that of MRI or CT, we expect that MPI offers the potential to improve stroke imaging and treatment.

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    The Supporting Information is available free of charge on the ACS Publications website at DOI: 10.1021/acsnano.7b05784.

    • Averaged concentration–time curves from all animals; calculation of the perfusion parameters with the software tool AnToNIa; schematic representation of the MCAO model; equations used for MPI image reconstruction and the calculation of the perfusion parameter maps (PDF)

    • Video V1: Real-time MPI of the cerebral perfusion in healthy mice, showing the tracer bolus through the murine brain with the full temporal resolution of 47 fps (MPG)

    • Video V2: Real-time MPI of the cerebral perfusion in acute stroke, showing the tracer bolus through the murine brain after induction of MCAO with the full temporal resolution of 47 fps (MPG)

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