Adaptive Model for Magnetic Particle Mapping Using Magnetoelectric Sensors
Imaging of magnetic nanoparticles (MNPs) is of great interest in the medical sciences. By using resonant magnetoelectric sensors, higher harmonic excitations of MNPs can be measured and mapped in space. The proper reconstruction of particle distribution via solving the inverse problem is paramount f...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/3/894 |
| _version_ | 1797484827532853248 |
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| author | Ron-Marco Friedrich Franz Faupel |
| author_facet | Ron-Marco Friedrich Franz Faupel |
| author_sort | Ron-Marco Friedrich |
| collection | DOAJ |
| description | Imaging of magnetic nanoparticles (MNPs) is of great interest in the medical sciences. By using resonant magnetoelectric sensors, higher harmonic excitations of MNPs can be measured and mapped in space. The proper reconstruction of particle distribution via solving the inverse problem is paramount for any imaging technique. For this, the forward model needs to be modeled accurately. However, depending on the state of the magnetoelectric sensors, the projection axis for the magnetic field may vary and may not be known accurately beforehand. As a result, the projection axis used in the model may be inaccurate, which can result in inaccurate reconstructions and artifact formation. Here, we show an approach for mapping MNPs that includes sources of uncertainty to both select the correct particle distribution and the correct model simultaneously. |
| first_indexed | 2024-03-09T23:10:05Z |
| format | Article |
| id | doaj.art-bac809e6507a467eaf2eb74297ea0435 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T23:10:05Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-bac809e6507a467eaf2eb74297ea04352023-11-23T17:47:08ZengMDPI AGSensors1424-82202022-01-0122389410.3390/s22030894Adaptive Model for Magnetic Particle Mapping Using Magnetoelectric SensorsRon-Marco Friedrich0Franz Faupel1Institute of Materials Science, Faculty of Engineering, Kiel University, 24143 Kiel, GermanyInstitute of Materials Science, Faculty of Engineering, Kiel University, 24143 Kiel, GermanyImaging of magnetic nanoparticles (MNPs) is of great interest in the medical sciences. By using resonant magnetoelectric sensors, higher harmonic excitations of MNPs can be measured and mapped in space. The proper reconstruction of particle distribution via solving the inverse problem is paramount for any imaging technique. For this, the forward model needs to be modeled accurately. However, depending on the state of the magnetoelectric sensors, the projection axis for the magnetic field may vary and may not be known accurately beforehand. As a result, the projection axis used in the model may be inaccurate, which can result in inaccurate reconstructions and artifact formation. Here, we show an approach for mapping MNPs that includes sources of uncertainty to both select the correct particle distribution and the correct model simultaneously.https://www.mdpi.com/1424-8220/22/3/894magnetoelectricmagnetic nanoparticleimaginginverse problemblind deconvolution |
| spellingShingle | Ron-Marco Friedrich Franz Faupel Adaptive Model for Magnetic Particle Mapping Using Magnetoelectric Sensors Sensors magnetoelectric magnetic nanoparticle imaging inverse problem blind deconvolution |
| title | Adaptive Model for Magnetic Particle Mapping Using Magnetoelectric Sensors |
| title_full | Adaptive Model for Magnetic Particle Mapping Using Magnetoelectric Sensors |
| title_fullStr | Adaptive Model for Magnetic Particle Mapping Using Magnetoelectric Sensors |
| title_full_unstemmed | Adaptive Model for Magnetic Particle Mapping Using Magnetoelectric Sensors |
| title_short | Adaptive Model for Magnetic Particle Mapping Using Magnetoelectric Sensors |
| title_sort | adaptive model for magnetic particle mapping using magnetoelectric sensors |
| topic | magnetoelectric magnetic nanoparticle imaging inverse problem blind deconvolution |
| url | https://www.mdpi.com/1424-8220/22/3/894 |
| work_keys_str_mv | AT ronmarcofriedrich adaptivemodelformagneticparticlemappingusingmagnetoelectricsensors AT franzfaupel adaptivemodelformagneticparticlemappingusingmagnetoelectricsensors |