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      Magnetic Particle Imaging (MPI): Experimental Quantification of Vascular Stenosis Using Stationary Stenosis Phantoms

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          Abstract

          Magnetic Particle Imaging (MPI) is able to provide high temporal and good spatial resolution, high signal-to-noise ratio and sensitivity. Furthermore, it is a truly quantitative method as its signal strength is proportional to the concentration of its tracer, superparamagnetic iron oxide nanoparticles (SPIOs). Because of that, MPI is proposed to be a promising future method for cardiovascular imaging. Here, an interesting application may be the quantification of vascular pathologies like stenosis by utilizing the proportionality of the SPIO concentration and the MPI signal strength. In this study, the feasibility of MPI based stenosis quantification is evaluated based on this application scenario. Nine different stenosis phantoms with a normal diameter of 10 mm each and different stenoses of 1–9 mm and ten reference phantoms with a straight diameter of 1–10 mm were filled with a 1% Resovist dilution and measured in a preclinical MPI-demonstrator. The MPI signal intensities of the reference phantoms were compared to each other and the change of signal intensity within each stenosis phantom was used to calculate the degree of stenosis. These values were then compared to the known diameters of each phantom. As a second measurement, the 5 mm stenosis phantom was used for a serial dilution measurement down to a Resovist dilution of 1:3200 (0.031%), which is lower than a first pass blood concentration of a Resovist bolus in the peripheral arteries of an average adult human of at least about 1:1000. The correlation of the stenosis values based on MPI signal intensity measurements and based on the known diameters showed a very good agreement, proving the high precision of quantitative MPI in this regard.

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          Most cited references30

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          Tomographic imaging using the nonlinear response of magnetic particles.

          The use of contrast agents and tracers in medical imaging has a long history. They provide important information for diagnosis and therapy, but for some desired applications, a higher resolution is required than can be obtained using the currently available medical imaging techniques. Consider, for example, the use of magnetic tracers in magnetic resonance imaging: detection thresholds for in vitro and in vivo imaging are such that the background signal from the host tissue is a crucial limiting factor. A sensitive method for detecting the magnetic particles directly is to measure their magnetic fields using relaxometry; but this approach has the drawback that the inverse problem (associated with transforming the data into a spatial image) is ill posed and therefore yields low spatial resolution. Here we present a method for obtaining a high-resolution image of such tracers that takes advantage of the nonlinear magnetization curve of small magnetic particles. Initial 'phantom' experiments are reported that demonstrate the feasibility of the imaging method. The resolution that we achieve is already well below 1 mm. We evaluate the prospects for further improvement, and show that the method has the potential to be developed into an imaging method characterized by both high spatial resolution as well as high sensitivity.
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            Three-dimensional real-time in vivo magnetic particle imaging.

            Magnetic particle imaging (MPI) is a new tomographic imaging method potentially capable of rapid 3D dynamic imaging of magnetic tracer materials. Until now, only dynamic 2D phantom experiments with high tracer concentrations have been demonstrated. In this letter, first in vivo 3D real-time MPI scans are presented revealing details of a beating mouse heart using a clinically approved concentration of a commercially available MRI contrast agent. A temporal resolution of 21.5 ms is achieved at a 3D field of view of 20.4 x 12 x 16.8 mm(3) with a spatial resolution sufficient to resolve all heart chambers. With these abilities, MPI has taken a huge step toward medical application.
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              Magnetic Particle Imaging tracks the long-term fate of in vivo neural cell implants with high image contrast

              We demonstrate that Magnetic Particle Imaging (MPI) enables monitoring of cellular grafts with high contrast, sensitivity, and quantitativeness. MPI directly detects the intense magnetization of iron-oxide tracers using low-frequency magnetic fields. MPI is safe, noninvasive and offers superb sensitivity, with great promise for clinical translation and quantitative single-cell tracking. Here we report the first MPI cell tracking study, showing 200-cell detection in vitro and in vivo monitoring of human neural graft clearance over 87 days in rat brain.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                5 January 2017
                2017
                : 12
                : 1
                : e0168902
                Affiliations
                [1 ]Clinic for Radiology and Nuclear Medicine, University Hospital Schleswig Holstein, Lübeck, Germany
                [2 ]Research Laboratories, Philips Technologie GmbH Innovative Technologies, Hamburg, Germany
                Brandeis University, UNITED STATES
                Author notes

                Competing Interests: I have read the journal's policy and the authors of this manuscript have the following competing interests: JBorgert and JR are employees of Philips Technologie GmbH; The work of all authors in this study was supported by the German Federal Ministry of Education and Research ( www.bmbf.de), grant numbers 13N11090 (JBarkhausen, JR) and 13N11093 (SV, RLD, JH, JBorgert, FMV). This does not alter our adherence to PLOS ONE policies on sharing data and materials.

                • Conceptualization: JH NP RLD J. Barkhausen FMV.

                • Data curation: JH JR.

                • Formal analysis: JH SV.

                • Funding acquisition: J. Barkhausen J Borgert FMV.

                • Investigation: SV JR JH RLD.

                • Methodology: JR JH.

                • Project administration: JH.

                • Resources: JR NP RLD J. Barkhausen J. Borgert FMV JH.

                • Software: JR J. Borgert JH.

                • Supervision: JH.

                • Validation: JR SV JH.

                • Visualization: JH SV.

                • Writing – original draft: JH JR SV FMV.

                • Writing – review & editing: JR NP RLD J. Barkhausen J. Borgert FMV JH.

                [¤]

                Current address: Radiologische Allianz GbR, Hamburg, Germany

                Author information
                http://orcid.org/0000-0001-9958-3362
                Article
                PONE-D-16-30781
                10.1371/journal.pone.0168902
                5215859
                28056102
                fa94c8ee-9252-4401-be86-1f051bef8943
                © 2017 Vaalma et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 1 August 2016
                : 8 December 2016
                Page count
                Figures: 8, Tables: 2, Pages: 22
                Funding
                Funded by: Philips Technologie GmbH
                Award Recipient :
                Funded by: Philips Technologie GmbH
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100002347, Bundesministerium für Bildung und Forschung;
                Award ID: 13N11090
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100002347, Bundesministerium für Bildung und Forschung;
                Award ID: 13N11093
                Award Recipient :
                The work of all authors in this study was supported by the German Federal Ministry of Education and Research ( www.bmbf.de), grant numbers 13N11090 (JBorgert, JR) and 13N11093 (SV, RLD, JH, JBarkhausen, FMV). J.R. and J.Borgert are employees of Philips Technologie GmbH. The funder provided support in the form of salaries for authors [J.R. and J.Borgert], but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.
                Categories
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                Medicine and Health Sciences
                Diagnostic Medicine
                Signs and Symptoms
                Stenosis
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                Pathology and Laboratory Medicine
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                Stenosis
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