| Zugriffsnummer | 44944 |
| Dokumenttyp | Zeitschriftenartikel |
| Peer Review | mit Peer Review |
| Sprache | Englisch |
| Titel | Evaluating the performance of ultra-low-field MRI for in-vivo 3D current density imaging of the human head |
| Autor(in); Institution |
Hömmen, Peter; 8.2, Biosignale, PTB-Berlin
Mäkinen, A. J.; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, FINLAND
Hunold, A.; Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Ilmenau, GERMANY
Machts, R.; Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Ilmenau, GERMANY
Haueisen, J.; Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Ilmenau, GERMANY
Zevenhoven, K. C. J.; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, FINLAND
Ilmoniemi, R. J.; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, FINLAND
Körber, Rainer; 8.2, Biosignale, PTB-Berlin
|
| Quelle/Jahr | Frontiers in Physics: 8 (2020) |
| Artikelnummer | 105 |
| Availability | [online only] |
| ISSN | 2296-424X |
| DOI | |
| Verlag | Lausanne: Frontiers Media |
| Freie Schlagworte | ultra-low-field MRI ; current-density imaging ; zero-field encoding ; signal-to-noise ratio ; finite-element method ; Monte-Carlo simulation ; MRI simulation |
| Zusammenfassung | Magnetic fields associated with currents flowing in tissue can bemeasured non-invasively by means of zero-field-encoded ultra-low-field magnetic resonance imaging (ULF MRI) enabling current-density imaging (CDI) and possibly conductivity mapping of human head tissues. Since currents applied to a human are limited by safety regulations and only a small fraction of the current passes through the relatively highly-resistive skull, a sufficient signal-to-noise ratio (SNR) may be difficult to obtain when using this method. In this work, we study the relationship between the image SNR and the SNR of the field reconstructions from zero-field-encoded data. We evaluate these results for two existing ULF-MRI scanners - one ultra-sensitive single-channel system and one whole-head multi-channel system - by simulating sequences necessary for current-density reconstruction.We also derive realistic current-density and magnetic-field estimates from finite-element-method simulations based on a three-compartment head model. We found that existing ULF-MRI systems reach sufficient SNR to detect intra-cranial current distributions with statistical uncertainty below 10%. However, the results also reveal that image artifacts influence the reconstruction quality. Further, our simulations indicate that current-density reconstruction in the scalp requires a resolution (5 mm and demonstrate that the necessary sensitivity coverage can be accomplished by multi-channel devices. |
| Kostenfreier Zugang | Open Access Gold |
| Rechteinformation | CC BY 4.0 ; Creative Commons Attribution 4.0 License |
| Themenbereich der Metrologie | Metrologie in der Medizin |
Zitierung
Hömmen, P., Mäkinen, A. J., Hunold, A., Machts, R., Haueisen, J., Zevenhoven, K. C. J., Ilmoniemi, R. J., & Körber, R. (2020). Evaluating the performance of ultra-low-field MRI for in-vivo 3D current density imaging of the human head. Frontiers in Physics, 8. https://doi.org/10.3389/fphy.2020.00105