43 research outputs found

    NMR Field Probes for MRI at 9.4 T

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    NMR Field Probes for MRI at 9.4 T

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    One main issue in MRI are inh o- mogeneities in the magnetic field, temporal drifts or imperfections in the gradients. Magne t- ic field probes can be used for measuring (and eventually compensating for) these effects . Here, we present a susceptibility matched transmit/receive NMR field probe that is built based on the work of Barmet et al. (1). Its characteristics are then examined in order to explore possible future applications

    Prospective Head Motion Correction Using Multiple Tracking Modalities

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    Purpose/Introduction: Motion artifacts are a major problem for functional and anatomical MRI. The state of the art in head motion correction is prospective motion correction using a tracking modality of choice while updating slice positions and orientations in real-time during the acquisition.1 This work explores the possibility of using simultaneous tracking with multiple modalities. They can be used to supplement each other or provide an alternative when the tracking update from one method is lost or erroneous. Subjects and Methods: Two tracking methods were used to track and prospectively correct2 for head motion simultaneously: Optical tracking with Moire´ Phase Tracking (MPT)3 (Kineticor Inc, HI, USA) and motion tracking using four 19F NMR field probes4,5,6,7. The MR scanner used in this experiment was a 9.4 T human scanner (Siemens, Erlangen, Germany). The subject was scanned with a gradient echo sequence (Resolution 0.8 9 0.8 9 1.6 mm, TR 80 ms, TE 4 ms, FA 20). The MPT marker was attached to a subject specific bite-bar in order to have line of sight to the camera inside a shielded coil. The field probes (FP) were attached to the nose bridge and the temples of the subject. To simulate tracking dropouts of the MPT system, the subject was asked to obscure the marker for short periods of time. To still achieve continuous motion correction the tracking source was switched to field probes in those time intervals. Results: The in vivo measurements in Fig. 1 show a reference image (a) and the different types of prospective motion correction with small head motion (s. also Fig. 2). The image quality for single modality tracking (b,c) is comparable to the reference case for both modalities. With induced tracking dropouts the quality is visibly reduced (d) but can be improved again when field probe tracking is enabled as a fallback method (e). The motion trajectories measured with both systems for the two measurements with tracking dropouts are shown in Fig. 2. Motion range and pattern are very similar in both measurements. Discussion/Conclusion: The quality of the prospectively corrected images is improved when the fallback is enabled compared to the case when there are tracking dropouts and only one system is used. However, the remaining difference to the images with single source correction has to be investigated further. Further applications might include averaging of the motion estimates of multiple tracking systems or using the other tracking source to cross-validate the plausibility of measured motion

    Hybrid Digital Phase-Locked Loop and Moving Average Filtering Improves SNR in Spatio-Temporal Field Monitoring

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    Recent spatio-temporal B0 field monitoring methods utilise an array of NMR probes to measure the dynamics of the B0 field. The B0 field is usually characterised by spherical harmonic coefficients which are obtained from the phase signals (or phase coefficients) of the probe FIDs. A hybrid method is presented that uses a moving average filter in conjunction with a digital phase locked-loop filter to improve the SNR of the phase signals measured by the NMR probes. This method takes advantage of the FID SNR to reduce the phase jitter in the phase signal. It is also easy to implement for real-time applications
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