Simulating the effects of time-varying magnetic fields with a realistic simulated scanner.

Transient magnetic fields induce changes in magnetic resonance (MR) images ranging from small, visually undetectable effects (caused, for instance, by neuronal currents) to more significant ones, such as those created by the gradient fields and eddy currents. Accurately simulating these effects may assist in correcting or optimising MR imaging for many applications (e.g., diffusion imaging, current density imaging, use of magnetic contrast agents, neuronal current imaging, etc.). Here we have extended an existing MR simulator (POSSUM) with a model for changing magnetic fields at a very high-resolution time-scale. This simulator captures a realistic range of scanner and physiological artifacts by modeling the scanner environment, pulse sequence details and subject properties (e.g., brain geometry and air-tissue boundaries). The simulations were validated by using previously published experimental data sets. In the first dataset a transient magnetic field was produced by a single conducting wire with varying current amplitude (between 17 muA and 765 muA). The second was identical except that current amplitude was fixed (at 7.8 mA) and current timing varied. A very close match between simulated images and experimental data was observed. In addition, these validation results led to the observation that the current-induced effects included ringing in the image, which extended away from the conductor, primarily in the phase-encode direction. This effect had previously not been noticed in the noisy, experimentally-acquired images, demonstrating one way in which simulated images can provide potential insight into imaging experiments.

[1]  R. Bowtell,et al.  Sensitivity to local dipole fields in the CRAZED experiment: an approach to bright spot MRI. , 2006, Journal of magnetic resonance.

[2]  J. Bodurka,et al.  Toward direct mapping of neuronal activity: MRI detection of ultraweak, transient magnetic field changes , 2002 .

[3]  Riitta Hari,et al.  Functional phantom for fMRI: a feasibility study. , 2006, Magnetic resonance imaging.

[4]  Callaghan,et al.  Spatially-distributed pulsed gradient spin echo NMR using single-wire proximity. , 1995, Physical review letters.

[5]  Michele Migliore,et al.  Realistic simulations of neuronal activity: A contribution to the debate on direct detection of neuronal currents by MRI , 2008, NeuroImage.

[6]  R Bowtell,et al.  Analytic calculations of the E‐fields induced by time‐varying magnetic fields generated by cylindrical gradient coils , 2000, Magnetic resonance in medicine.

[7]  R. Bowtell,et al.  MRI detection of weak magnetic fields due to an extended current dipole in a conducting sphere: A model for direct detection of neuronal currents in the brain , 2003, Magnetic resonance in medicine.

[8]  David Gavaghan,et al.  Development of a functional magnetic resonance imaging simulator for modeling realistic rigid‐body motion artifacts , 2006, Magnetic resonance in medicine.

[9]  Steven W. Fleming,et al.  Further steps toward direct magnetic resonance (MR) imaging detection of neural action currents: Optimization of MR sensitivity to transient and weak currents in a conductor , 2006, Magnetic resonance in medicine.

[10]  R. Henkelman,et al.  RF Current Density Imaging in Homogeneous Media , 1992, Magnetic resonance in medicine.

[11]  R. Weissleder,et al.  Ultrasmall superparamagnetic iron oxide: characterization of a new class of contrast agents for MR imaging. , 1990, Radiology.

[12]  M. Joy,et al.  In vivo detection of applied electric currents by magnetic resonance imaging. , 1989, Magnetic resonance imaging.

[13]  R. Edelman,et al.  Magnetic resonance imaging (2) , 1993, The New England journal of medicine.

[14]  D. Plenz,et al.  Direct magnetic resonance detection of neuronal electrical activity , 2006, Proceedings of the National Academy of Sciences.