Zugriffsnummer 45904
Dokumenttyp Zeitschriftenartikel Open Access Gold
Peer Review mit Peer Review
Sprache Englisch
Titel Computational and phantom-based feasibility study of 3D dcNCI with ultra-low-field MRI
Autor(in); Institution
Höfner, Nora; 8.2, Biosignale, PTB-Berlin
Storm, Jan-Hendrik; 8.2, Biosignale, PTB-Berlin
Hömmen, Peter; 8.2, Biosignale, PTB-Berlin
Cassara, A.M.; Foundation for Research on Information Technologies in Society (IT’IS), Zurich, SWITZERLAND
Körber, Rainer; 8.2, Biosignale, PTB-Berlin
Quelle/Jahr Frontiers in Physics: 9 (2021), 14 S.
Artikelnummer 647376
Availability [online only]
ISSN 2296-424X (ONLINE)
DOI
Verlag Lausanne: Frontiers Media
Freie Schlagworte neutron properties ; electric dipole moment ; CP-violation ; T invariance ; ultracold neutrons ; precision measurements ; atomic magnetometry ; magnetic shielding
Zusammenfassung The possibility to directly and non-invasively localize neuronal activities in the human brain, as for instance by performing neuronal current imaging (NCI) via magnetic resonance imaging (MRI), would be a breakthrough in neuroscience. In order to assess the feasibility of 3-dimensional (3D) NCI, comprehensive computational and physical phantomexperiments using low-noise ultra-low-field (ULF)MRI technology were performed using two different source models within spherical phantoms. The source models, consisting of a single dipole and an extended dipole grid, were calibrated enabling the quantitative emulation of a long-lasting neuronal activity by the application of known current waveforms. The dcNCI experiments were also simulated by solving the Bloch equations using the calculated internal magnetic field distributions of the phantoms and idealized MRI fields. The simulations were then validated by physical phantom experiments using a moderate polarization field of 17 mT. A focal activity with an equivalent current dipole of about 150 nAm and a physiologically relevant depth of 35 mm could be resolved with an isotropic voxel size of 25 mm. The simulation tool enabled the optimization of the imaging parameters for sustained neuronal activities in order to predict maximum sensitivity.
Kostenfreier Zugang Open Access Gold
Themenbereich der Metrologie Metrologie in der Medizin
Förderinformationen (1) Förderername: Deutsche Forschungsgemeinschaft (DFG)
Förderer ID: 0000 0001 2096 9829
Förderer ID Typ: ISNI
Förderprogramm: Grant KO 5321/1-1
Förderinformationen (2) Förderername: Schweizerischer Nationalfonds zur Förderung der wissenschaftlichen Forschung (SNF)
Förderer ID: 0000 0001 0672 3101
Förderer ID Typ: ISNI
Förderungsnummer: No 200021E-166809
Förderinformationen (3) Förderername: European Commission (EC)
Förderer ID: 0000 0001 2242 8989
Förderer ID Typ: ISNI
Förderprogramm: EU Framework Programme for Research and Innovation Horizon 2020
Förderungsnummer: grant agreement No 686865.

Zitierung

Höfner, N., Storm, J.-H., Hömmen, P., Cassara, A., & Körber, R. (2021). Computational and phantom-based feasibility study of 3D dcNCI with ultra-low-field MRI. Frontiers in Physics, 9, 14 S. https://doi.org/10.3389/fphy.2021.647376

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