ArticleIEEE transactions on medical imaging2019
A Wireless Radio Frequency Triggered Acquisition Device (WRAD) for Self-Synchronised Measurements of the Rate of Change of the MRI Gradient Vector Field for Motion Tracking.
Article in IEEE transactions on medical imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Prospective motion correction with data reacquisition based on fat navigators for T1-weighted brain MRI at 3T.Medical & biological engineering & computing · 2026Article
- An Exploration of Motion-Sampling Interactions in 3D MRI for Neuroimaging.Magnetic resonance in medicine · 2026Article
- Motion and magnetic field inhomogeneity correction techniques for chemical exchange saturation transfer (CEST) MRI: A contemporary review.NMR in biomedicine · 2025Review
- Awake pediatric brain-MRI: a fast multi-sequence scan augmented with motion compensated single-shot 2D acquisitions.Radiology advances · 2024Article
- The MotoNet: A 3 Tesla MRI-Conditional EEG Net with Embedded Motion Sensors.Sensors (Basel, Switzerland) · 2023Article
- External Hardware and Sensors, for Improved MRI.Journal of magnetic resonance imaging : JMRI · 2023Review
- Motion correction methods for MRS: experts' consensus recommendations.NMR in biomedicine · 2021Article
- Reducing motion sensitivity in 3D high-resolution TNeuroImage · 2020Article
- Retrospective correction of head motion using measurements from an electromagnetic tracker.Magnetic resonance in medicine · 2020Article
- Inductive measurement and encoding of k-space trajectories in MR raw data.Magma (New York, N.Y.) · 2019Article
- Toward "plug and play" prospective motion correction for MRI by combining observations of the time varying gradient and static vector fields.Magnetic resonance in medicine · 2019Article
- Resting State fMRI: Going Through the Motions.Frontiers in neuroscience · 2019Review
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Authors and funding
3 authors.
Funding
Abstract
In this paper, we present a device that is capable of wireless synchronization to the MRI pulse sequence time frame with sub-microsecond precision. This is achieved by detecting radio frequency pulses in the parent pulse sequence using a small resonant circuit. The device incorporates a 3-axis pickup coil, constructed using conventional printed circuit board (PCB) manufacturing techniques, to measure the rate of change of the gradient waveforms with respect to time. Using Maxwell's equations, assuming negligible rates of change of curl and divergence, a model of the expected gradient derivative (slew) vector field is presented. A 3-axis Hall effect magnetometer allows for the measurement of the direction of the static magnetic field in the device co-ordinate frame. By combining the magnetometer measurement with the pickup coil voltages and slew vector field model, the orientation and position can be determined to within a precision of 0.1 degrees and 0.1 mm, respectively, using a pulse series lasting 880 μs . The gradient pulses are designed to be sinusoidal, enabling the detection of a phase shift between the time frame of the pickup coil digitization circuit and the gradient amplifiers. The signal processing is performed by a low power micro-controller on the device and the results are transmitted out of the scanner bore using a low latency 2.4 GHz radio link. The device identified an unexpected 40 kHz oscillation relating to the pulse width modulation frequency of the gradient amplifiers that is predominantly in the direction of the static magnetic field. The proposed wireless radio frequency triggered acquisition device enables users to probe the scanner gradient slew vector field with minimal hardware set-up and shows promise for the future developments in the prospective motion correction.
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