Imaging and quantification of magnetic nanoparticles: Comparison of magnetic resonance imaging and magnetic particle imaging
Autor: | Tobias Schaeffter, Karol Weber, Hendrik Paysen, Frank Wiekhorst, Norbert Loewa, James Wells, Olaf Kosch |
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Rok vydání: | 2019 |
Předmět: |
010302 applied physics
Quantitative imaging Materials science medicine.diagnostic_test Magnetic resonance imaging 02 engineering and technology Magnetic particle inspection equipment and supplies 021001 nanoscience & nanotechnology Condensed Matter Physics 01 natural sciences Electronic Optical and Magnetic Materials Imaging modalities Nuclear magnetic resonance Magnetic particle imaging 0103 physical sciences medicine Magnetic nanoparticles Cell tracking 0210 nano-technology Spectroscopy human activities |
Zdroj: | Journal of Magnetism and Magnetic Materials. 475:382-388 |
ISSN: | 0304-8853 |
DOI: | 10.1016/j.jmmm.2018.10.082 |
Popis: | Quantification and imaging of magnetic nanoparticles is of vital importance for various novel biomedical applications, like cell tracking, drug targeting or hyperthermia treatments. In this work we studied the performance of magnetic resonance imaging (MRI) and magnetic particle imaging (MPI) for quantitative imaging of magnetic nanoparticles (MNP). This was done by measurements of serial dilutions of MNP (Ferucarbotran) in two different media (water and CuSO4 solution). The concentration range in which quantification was possible was determined for each technique, and the influence of the environment was analyzed and discussed. This revealed a significantly stronger influence of the surrounding medium on MRI performance as compared to MPI. All results were validated by measurements using their respective zero-dimensional (spectroscopic) techniques nuclear magnetic resonance and magnetic particle spectroscopy, showing similar behavior compared to the imaging modalities. Physical explanations of all observed effects are given, and a concentration range is determined in which the advantages of both imaging techniques can be utilized. |
Databáze: | OpenAIRE |
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