Optimization of nanoparticle core size for magnetic particle imaging
Magnetic particle imaging (MPI) is a powerful new research and diagnostic imaging platform that is designed to image the amount and location of superparamagnetic nanoparticles in biological tissue. Here, we present mathematical modeling results that show how MPI sensitivity and spatial resolution bo...
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| Published in | Journal of magnetism and magnetic materials Vol. 321; no. 10; pp. 1548 - 1551 |
|---|---|
| Main Authors | , , |
| Format | Journal Article Conference Proceeding |
| Language | English |
| Published |
Amsterdam
Elsevier B.V
01.05.2009
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0304-8853 |
| DOI | 10.1016/j.jmmm.2009.02.083 |
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| Abstract | Magnetic particle imaging (MPI) is a powerful new research and diagnostic imaging platform that is designed to image the amount and location of superparamagnetic nanoparticles in biological tissue. Here, we present mathematical modeling results that show how MPI sensitivity and spatial resolution both depend on the size of the nanoparticle core and its other physical properties, and how imaging performance can be effectively optimized through rational core design. Modeling is performed using the properties of magnetite cores, since these are readily produced with a controllable size that facilitates quantitative imaging. Results show that very low detection thresholds (of a few nanograms Fe
3O
4) and sub-millimeter spatial resolution are possible with MPI. |
|---|---|
| AbstractList | Magnetic particle imaging (MPI) is a powerful new research and diagnostic imaging platform that is designed to image the amount and location of superparamagnetic nanoparticles in biological tissue. Here, we present mathematical modeling results that show how MPI sensitivity and spatial resolution both depend on the size of the nanoparticle core and its other physical properties, and how imaging performance can be effectively optimized through rational core design. Modeling is performed using the properties of magnetite cores, since these are readily produced with a controllable size that facilitates quantitative imaging. Results show that very low detection thresholds (of a few nanograms Fe(3)O(4)) and sub-millimeter spatial resolution are possible with MPI. Magnetic particle imaging (MPI) is a powerful new research and diagnostic imaging platform that is designed to image the amount and location of superparamagnetic nanoparticles in biological tissue. Here, we present mathematical modeling results that show how MPI sensitivity and spatial resolution both depend on the size of the nanoparticle core and its other physical properties, and how imaging performance can be effectively optimized through rational core design. Modeling is performed using the properties of magnetite cores, since these are readily produced with a controllable size that facilitates quantitative imaging. Results show that very low detection thresholds (of a few nanograms Fe(3)O(4)) and sub-millimeter spatial resolution are possible with MPI.Magnetic particle imaging (MPI) is a powerful new research and diagnostic imaging platform that is designed to image the amount and location of superparamagnetic nanoparticles in biological tissue. Here, we present mathematical modeling results that show how MPI sensitivity and spatial resolution both depend on the size of the nanoparticle core and its other physical properties, and how imaging performance can be effectively optimized through rational core design. Modeling is performed using the properties of magnetite cores, since these are readily produced with a controllable size that facilitates quantitative imaging. Results show that very low detection thresholds (of a few nanograms Fe(3)O(4)) and sub-millimeter spatial resolution are possible with MPI. Magnetic particle imaging (MPI) is a powerful new research and diagnostic imaging platform that is designed to image the amount and location of superparamagnetic nanoparticles in biological tissue. Here, we present mathematical modeling results that show how MPI sensitivity and spatial resolution both depend on the size of the nanoparticle core and its other physical properties, and how imaging performance can be effectively optimized through rational core design. Modeling is performed using the properties of magnetite cores, since these are readily produced with a controllable size that facilitates quantitative imaging. Results show that very low detection thresholds (of a few nanograms Fe 3O 4) and sub-millimeter spatial resolution are possible with MPI. Magnetic particle imaging (MPI) is a powerful new research and diagnostic imaging platform that is designed to image the amount and location of superparamagnetic nanoparticles in biological tissue. Here, we present mathematical modeling results that show how MPI sensitivity and spatial resolution both depend on the size of the nanoparticle core and its other physical properties, and how imaging performance can be effectively optimized through rational core design. Modeling is performed using the properties of magnetite cores, since these are readily produced with a controllable size that facilitates quantitative imaging. Results show that very low detection thresholds (of a few nanograms Fe 3 O 4 ) and sub-millimeter spatial resolution are possible with MPI. |
| Author | Ferguson, R. Matthew Minard, Kevin R. Krishnan, Kannan M. |
| AuthorAffiliation | b Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, Richland, WA 99354, USA a Materials Science and Engineering Department, University of Washington, Box 352120, Seattle, WA 98195−2120, USA |
| AuthorAffiliation_xml | – name: a Materials Science and Engineering Department, University of Washington, Box 352120, Seattle, WA 98195−2120, USA – name: b Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, Richland, WA 99354, USA |
| Author_xml | – sequence: 1 givenname: R. Matthew surname: Ferguson fullname: Ferguson, R. Matthew organization: Materials Science and Engineering Department, University of Washington, Box 352120, Seattle, WA 98195-2120, USA – sequence: 2 givenname: Kevin R. surname: Minard fullname: Minard, Kevin R. organization: Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, Richland, WA 99354, USA – sequence: 3 givenname: Kannan M. surname: Krishnan fullname: Krishnan, Kannan M. email: kannanmk@u.washington.edu organization: Materials Science and Engineering Department, University of Washington, Box 352120, Seattle, WA 98195-2120, USA |
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| Keywords | Magnetic nanoparticle Molecular imaging Magnetic particle imaging Iron oxide nanoparticle Contrast agent Particle size Iron oxide Nanoparticle Superparamagnetism Modeling Optimization Tissue Magnetic particles Magnetite Medical imagery Spatial resolution |
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| SubjectTerms | Biological and medical sciences Contrast agent Iron oxide nanoparticle Magnetic nanoparticle Magnetic particle imaging Medical sciences Molecular imaging Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. Diet therapy and various other treatments (general aspects) Technology. Biomaterials. Equipments. Material. Instrumentation |
| Title | Optimization of nanoparticle core size for magnetic particle imaging |
| URI | https://dx.doi.org/10.1016/j.jmmm.2009.02.083 https://www.ncbi.nlm.nih.gov/pubmed/19606261 https://www.proquest.com/docview/1835542027 https://pubmed.ncbi.nlm.nih.gov/PMC2709850 |
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