SQUID-sensor-based ultra-low-field MRI calibration with phantom images: towards quantitative imaging.
作者： Juhani Dabek , Panu T. Vesanen , Koos C.J. Zevenhoven , Jaakko O. Nieminen , Raimo Sepponen
DOI: 10.1016/J.JMR.2012.08.010
关键词: Magnetometer 、 Transducer 、 Calibration 、 SQUID 、 Magnetic resonance imaging 、 Electromagnet 、 Physics 、 Magnetoencephalography 、 Imaging phantom 、 Optics 、 Nuclear magnetic resonance
摘要: In ultra-low-field magnetic resonance imaging (ULF MRI), measured signals oscillate at Larmor frequencies around 1 kHz compared to even above 100 MHz in high-field MRI. Thus, detection by induction coils ULF MRI is not feasible, whereas superconducting quantum interference device (SQUID) sensors can measure these femtotesla-level signals. The signal-to-noise ratio enhanced prepolarization a field that typically 100-1000 times higher than the during acquisition. Based on both measurements and simulations, procedure for calibrating SQUID-sensor-based system with MR images presented this article. Magnetoencephalography (MEG) be integrated MRI, may also benefit from such calibration procedure. Conventionally, electromagnet probe have been used SQUID-sensor MEG; ULF-MRI-based approach using an phantom could replace hybrid MEG-MRI or alone. necessary theory provided here experimental verification. opens possibility of performing quantitative without sample-specific reference scans.
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