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Mr750 3t mr system

Manufactured by GE Healthcare
Sourced in United States

The MR750 3T MR system is a magnetic resonance imaging (MRI) scanner developed by GE Healthcare. It operates at a magnetic field strength of 3 Tesla, which allows for high-quality imaging and advanced clinical applications. The system is designed to provide reliable and consistent performance for a variety of MRI examinations.

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3 protocols using mr750 3t mr system

1

Resting-state fMRI Acquisition Protocol

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Resting-state echo-planar images were acquired on an MR750 3T MR system (GE Healthcare) with a Nova Medical 32-channel head coil and were optimized for the detection of ventral frontal signal (222 volumes; 41 slices; descending sequential acquisition; repetition time = 2000 ms; echo time = 20 ms; matrix = 64 × 64; field-of-view = 211 mm; flip angle = 75°; slice thickness = 2.9 mm, slice gap = 0.1 mm, interslice distance = 3 mm). Shimming was automatically applied as part of the scanner’s prescan procedures, and 4 additional volumes were acquired and automatically discarded at the start of each fMRI run, allowing for T1 equilibration effects. As demonstrated by measurements of the temporal signal-to-noise, i.e., "the mean of a voxel’s blood-oxygen level–dependent signal over time divided by its standard deviation over time" (54 ), we obtained good coverage (Figure S1, Table S2).
Participants were shown a fixation cross on the screen and were instructed to keep their eyes open and let their mind wander while focusing on the cross. This setup has been shown to have higher reliability than other eyes-open or eyes-closed instructions (55 (link)). Respiration rate and heart rate were monitored. The total scan time was 7 minutes and 24 seconds. For more details on image acquisition, see the Supplemental Methods.
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2

3T fMRI Acquisition Protocol for Brain Imaging

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Image acquisition was carried out on an MR750 3 T MR system (GE Healthcare, Chicago, USA), using a Nova Medical 32-channel head coil. Functional image acquisition was obtained parallel to the anterior commissureposterior commissure plane, with slices running top to bottom, using a standard T2*-weighted echo-planar imaging (blood-oxygen level-dependent; BOLD) sequence (repetition time = 2000 ms; echo time = 30 ms; matrix = 64 × 64; field-of-view = 240 mm; flip angle = 75 degrees; slice thickness = 3 mm, slice gap = 0.3 mm, inter-slice distance = 3.3 mm, 41 slices, 267 volumes). Shimming was automatically applied as part of the scanner's 'pre-scan' procedures, and four additional volumes were acquired and automatically discarded at the start of each fMRI run, allowing for T1 equilibration effects.
As demonstrated by measurements of the temporal signal-to-noise, i.e. 'the mean of a voxel's BOLD signal over time divided by its standard deviation over time' (Welvaert & Rosseel, 2013) (link), overall signal quality was very good (online Supplementary Fig. S1; Supplementary Table S2). For more details on image acquisition, please see Supplementary Methods.
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3

Evaluating Head Motion Tracking Methods

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Two volunteers were scanned on a GE MR750 3T MR system and instructed to move their head to six different poses in turn. The volunteers had the same ink stamps on their forehead as were used in both the robotic test platform and inbore phantom experiments. At each of the six poses, the volunteer was imaged for 45 s using a 3D FSPGR navigator (TE: 1.5 s, TR: 4.9 s). Reconstructed image volumes from the six scans were aligned retrospectively to the first volume using Statistical Parametric Mapping (SPM) image registration and directly compared with movements estimated from the feature-based motion tracking system by applying the cross-calibration from Section 2D. Finally, the feature-based estimates were used for retrospective alignment of the images for motion correction and the resulting mean images were compared to the SPM-based motion correction results. Human volunteer experiments were performed in compliance with IRB protocols.
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