Publication | Open Access
Microtesla MRI with a superconducting quantum interference device
165
Citations
21
References
2004
Year
EngineeringMagnetic ResonanceMicrotesla MriBiomedical EngineeringQuantum SensingNmr LinesNmr SignalsMagnetic Resonance ImagingMagnetismSuperconductivityQuantum MaterialsSuperconducting DevicesRadiologyHealth SciencesQuantum SciencePhysicsMedical ImagingMagnetic MeasurementMri ScannersMagnetic Resonance SpectroscopyApplied PhysicsBiomedical ImagingImaging
MRI scanners enable fast, noninvasive, and high-resolution imaging of organs and soft tissue. The images are reconstructed from NMR signals generated by nuclear spins that precess in a static magnetic field B0 in the presence of magnetic field gradients. Most clinical MRI scanners operate at a magnetic field B0 = 1.5 T, corresponding to a proton resonance frequency of 64 MHz. Because these systems rely on large superconducting magnets, they are costly and demanding of infrastructure. On the other hand, low-field imagers have the potential to be less expensive, less confining, and more mobile. The major obstacle is the intrinsically low sensitivity of the low-field NMR experiment. Here, we show that prepolarization of the nuclear spins and detection with a superconducting quantum interference device (SQUID) yield a signal that is independent of B0, allowing acquisition of high-resolution MRIs in microtesla fields. Reduction of the strength of the measurement field eliminates inhomogeneous broadening of the NMR lines, resulting in enhanced signal-to-noise ratio and spatial resolution for a fixed strength of the magnetic field gradients used to encode the image. We present high-resolution images of phantoms and other samples and T1-weighted contrast images acquired in highly inhomogeneous magnetic fields of 132 microT; here, T1 is the spin-lattice relaxation time. These techniques could readily be adapted to existing multichannel SQUID systems used for magnetic source imaging of brain signals. Further potential applications include low-cost systems for tumor screening and imaging peripheral regions of the body.
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