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Towards Picogram Detection of Superparamagnetic Iron-Oxide Particles Using a Gradiometric Receive Coil

Superparamagnetic iron-oxide nanoparticles can be used in medical applications like vascular or targeted imaging. Magnetic particle imaging (MPI) is a promising tomographic imaging technique that allows visualizing the 3D nanoparticle distribution concentration in a non-invasive manner. The two main...

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Autores principales: Graeser, Matthias, Knopp, Tobias, Szwargulski, Patryk, Friedrich, Thomas, von Gladiss, Anselm, Kaul, Michael, Krishnan, Kannan M, Ittrich, Harald, Adam, Gerhard, Buzug, Thorsten M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537232/
https://www.ncbi.nlm.nih.gov/pubmed/28761103
http://dx.doi.org/10.1038/s41598-017-06992-5
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author Graeser, Matthias
Knopp, Tobias
Szwargulski, Patryk
Friedrich, Thomas
von Gladiss, Anselm
Kaul, Michael
Krishnan, Kannan M
Ittrich, Harald
Adam, Gerhard
Buzug, Thorsten M.
author_facet Graeser, Matthias
Knopp, Tobias
Szwargulski, Patryk
Friedrich, Thomas
von Gladiss, Anselm
Kaul, Michael
Krishnan, Kannan M
Ittrich, Harald
Adam, Gerhard
Buzug, Thorsten M.
author_sort Graeser, Matthias
collection PubMed
description Superparamagnetic iron-oxide nanoparticles can be used in medical applications like vascular or targeted imaging. Magnetic particle imaging (MPI) is a promising tomographic imaging technique that allows visualizing the 3D nanoparticle distribution concentration in a non-invasive manner. The two main strengths of MPI are high temporal resolution and high sensitivity. While the first has been proven in the assessment of dynamic processes like cardiac imaging, it is unknown how far the detection limit of MPI can be lowered. Within this work, we will present a highly sensitive gradiometric receive-coil unit combined with a noise-matching network tailored for the imaging of mice. The setup is capable of detecting 5 ng of iron in-vitro with an acquisition time of 2.14 sec. In terms of iron concentration we are able to detect 156 μg/L marking the lowest value that has been reported for an MPI scanner so far. In-vivo MPI mouse images of a 512 ng bolus and a 21.5 ms acquisition time allow for capturing the flow of an intravenously injected tracer through the heart of a mouse. Since it has been rather difficult to compare detection limits across MPI publications we propose guidelines to improve the comparability of future MPI studies.
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spelling pubmed-55372322017-08-03 Towards Picogram Detection of Superparamagnetic Iron-Oxide Particles Using a Gradiometric Receive Coil Graeser, Matthias Knopp, Tobias Szwargulski, Patryk Friedrich, Thomas von Gladiss, Anselm Kaul, Michael Krishnan, Kannan M Ittrich, Harald Adam, Gerhard Buzug, Thorsten M. Sci Rep Article Superparamagnetic iron-oxide nanoparticles can be used in medical applications like vascular or targeted imaging. Magnetic particle imaging (MPI) is a promising tomographic imaging technique that allows visualizing the 3D nanoparticle distribution concentration in a non-invasive manner. The two main strengths of MPI are high temporal resolution and high sensitivity. While the first has been proven in the assessment of dynamic processes like cardiac imaging, it is unknown how far the detection limit of MPI can be lowered. Within this work, we will present a highly sensitive gradiometric receive-coil unit combined with a noise-matching network tailored for the imaging of mice. The setup is capable of detecting 5 ng of iron in-vitro with an acquisition time of 2.14 sec. In terms of iron concentration we are able to detect 156 μg/L marking the lowest value that has been reported for an MPI scanner so far. In-vivo MPI mouse images of a 512 ng bolus and a 21.5 ms acquisition time allow for capturing the flow of an intravenously injected tracer through the heart of a mouse. Since it has been rather difficult to compare detection limits across MPI publications we propose guidelines to improve the comparability of future MPI studies. Nature Publishing Group UK 2017-07-31 /pmc/articles/PMC5537232/ /pubmed/28761103 http://dx.doi.org/10.1038/s41598-017-06992-5 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Graeser, Matthias
Knopp, Tobias
Szwargulski, Patryk
Friedrich, Thomas
von Gladiss, Anselm
Kaul, Michael
Krishnan, Kannan M
Ittrich, Harald
Adam, Gerhard
Buzug, Thorsten M.
Towards Picogram Detection of Superparamagnetic Iron-Oxide Particles Using a Gradiometric Receive Coil
title Towards Picogram Detection of Superparamagnetic Iron-Oxide Particles Using a Gradiometric Receive Coil
title_full Towards Picogram Detection of Superparamagnetic Iron-Oxide Particles Using a Gradiometric Receive Coil
title_fullStr Towards Picogram Detection of Superparamagnetic Iron-Oxide Particles Using a Gradiometric Receive Coil
title_full_unstemmed Towards Picogram Detection of Superparamagnetic Iron-Oxide Particles Using a Gradiometric Receive Coil
title_short Towards Picogram Detection of Superparamagnetic Iron-Oxide Particles Using a Gradiometric Receive Coil
title_sort towards picogram detection of superparamagnetic iron-oxide particles using a gradiometric receive coil
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537232/
https://www.ncbi.nlm.nih.gov/pubmed/28761103
http://dx.doi.org/10.1038/s41598-017-06992-5
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