التفاصيل البيبلوغرافية
| العنوان: |
Data_Sheet_1_Evaluating the Performance of Ultra-Low-Field MRI for in-vivo 3D Current Density Imaging of the Human Head.pdf |
| المؤلفون: |
Peter Hömmen, Antti J. Mäkinen, Alexander Hunold, René Machts, Jens Haueisen, Koos C. J. Zevenhoven, Risto J. Ilmoniemi, Rainer Körber |
| سنة النشر: |
2020 |
| المجموعة: |
Frontiers: Figshare |
| مصطلحات موضوعية: |
Biophysics, Astrophysics, Applied Physics, Computational Physics, Condensed Matter Physics, Particle Physics, Plasma Physics, Solar System, Solar Physics, Planets and Exoplanets, Classical and Physical Optics, Photonics, Optoelectronics and Optical Communications, Cloud Physics, Tropospheric and Stratospheric Physics, High Energy Astrophysics, Cosmic Rays, Mesospheric, Ionospheric and Magnetospheric Physics, Space and Solar Physics, Mathematical Physics not elsewhere classified, Physical Chemistry of Materials, Physical Chemistry not elsewhere classified, Classical Physics not elsewhere classified, Condensed Matter Physics not elsewhere classified, Quantum Physics not elsewhere classified, ultra-low-field MRI, current-density imaging, zero-field encoding, signal-to-noise ratio |
| الوصف: |
Magnetic fields associated with currents flowing in tissue can be measured 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. |
| نوع الوثيقة: |
dataset |
| اللغة: |
unknown |
| Relation: |
https://figshare.com/articles/dataset/Data_Sheet_1_Evaluating_the_Performance_of_Ultra-Low-Field_MRI_for_in-vivo_3D_Current_Density_Imaging_of_the_Human_Head_pdf/12227309 |
| DOI: |
10.3389/fphy.2020.00105.s001 |
| الاتاحة: |
https://doi.org/10.3389/fphy.2020.00105.s001
https://figshare.com/articles/dataset/Data_Sheet_1_Evaluating_the_Performance_of_Ultra-Low-Field_MRI_for_in-vivo_3D_Current_Density_Imaging_of_the_Human_Head_pdf/12227309 |
| Rights: |
CC BY 4.0 |
| رقم الانضمام: |
edsbas.B060C092 |
| قاعدة البيانات: |
BASE |