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

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 nanoparticl...

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Autores principales: Vaalma, Sarah, Rahmer, Jürgen, Panagiotopoulos, Nikolaos, Duschka, Robert L., Borgert, Jörn, Barkhausen, Jörg, Vogt, Florian M., Haegele, Julian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5215859/
https://www.ncbi.nlm.nih.gov/pubmed/28056102
http://dx.doi.org/10.1371/journal.pone.0168902
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author Vaalma, Sarah
Rahmer, Jürgen
Panagiotopoulos, Nikolaos
Duschka, Robert L.
Borgert, Jörn
Barkhausen, Jörg
Vogt, Florian M.
Haegele, Julian
author_facet Vaalma, Sarah
Rahmer, Jürgen
Panagiotopoulos, Nikolaos
Duschka, Robert L.
Borgert, Jörn
Barkhausen, Jörg
Vogt, Florian M.
Haegele, Julian
author_sort Vaalma, Sarah
collection PubMed
description 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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spelling pubmed-52158592017-01-19 Magnetic Particle Imaging (MPI): Experimental Quantification of Vascular Stenosis Using Stationary Stenosis Phantoms Vaalma, Sarah Rahmer, Jürgen Panagiotopoulos, Nikolaos Duschka, Robert L. Borgert, Jörn Barkhausen, Jörg Vogt, Florian M. Haegele, Julian PLoS One Research Article 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. Public Library of Science 2017-01-05 /pmc/articles/PMC5215859/ /pubmed/28056102 http://dx.doi.org/10.1371/journal.pone.0168902 Text en © 2017 Vaalma et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Vaalma, Sarah
Rahmer, Jürgen
Panagiotopoulos, Nikolaos
Duschka, Robert L.
Borgert, Jörn
Barkhausen, Jörg
Vogt, Florian M.
Haegele, Julian
Magnetic Particle Imaging (MPI): Experimental Quantification of Vascular Stenosis Using Stationary Stenosis Phantoms
title Magnetic Particle Imaging (MPI): Experimental Quantification of Vascular Stenosis Using Stationary Stenosis Phantoms
title_full Magnetic Particle Imaging (MPI): Experimental Quantification of Vascular Stenosis Using Stationary Stenosis Phantoms
title_fullStr Magnetic Particle Imaging (MPI): Experimental Quantification of Vascular Stenosis Using Stationary Stenosis Phantoms
title_full_unstemmed Magnetic Particle Imaging (MPI): Experimental Quantification of Vascular Stenosis Using Stationary Stenosis Phantoms
title_short Magnetic Particle Imaging (MPI): Experimental Quantification of Vascular Stenosis Using Stationary Stenosis Phantoms
title_sort magnetic particle imaging (mpi): experimental quantification of vascular stenosis using stationary stenosis phantoms
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5215859/
https://www.ncbi.nlm.nih.gov/pubmed/28056102
http://dx.doi.org/10.1371/journal.pone.0168902
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