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3t trio mri

Manufactured by Siemens
Sourced in Germany

The 3T TRIO MRI is a magnetic resonance imaging (MRI) system designed and manufactured by Siemens. It operates at a magnetic field strength of 3 Tesla, which allows for high-resolution imaging of the human body. The core function of the 3T TRIO MRI is to generate detailed, three-dimensional images of the internal structures and organs within the body using strong magnetic fields and radio waves.

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21 protocols using 3t trio mri

1

Resting-state fMRI Acquisition Protocol

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Sample 1: Imaging data was collected using a Siemens 3 T TRIO MRI (Erlangen, Germany), running VB17 software and equipped with a 32-channel RF head coil. Resting-state functional T2*-weighted images were obtained using a single-shot gradient-recalled, EPI pulse sequence (TR: 2000 ms, TE: 30 ms, 128 × 128 matrix, 1.72 × 1.72 mm2 in-plane resolution, 2.0 mm slice thickness, 81 axial slices, and 131 volumes).
Sample 2: Imaging data was collected using a Siemens 3 T TRIO MRI (Erlangen, Germany), running VB17 software and equipped with a 32-channel RF head coil. Resting-state functional T2*-weighted images were obtained using a single-shot gradient-recalled, EPI pulse sequence (TR: 2000 ms, TE: 30 ms, 128 × 128 matrix, 1.72 × 1.72 mm2 in-plane resolution, 4 mm slice thickness, 37 axial slices, and 444 volumes). Subsets of these data have been previously reported using different analytic methods (Adhikari et al., 2019b (link), Chen et al., 2020b (link)).
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2

Brain Imaging at 3T MRI Facility

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All imaging was performed at the University of Maryland Center for Brain Imaging Research using a Siemens 3T TRIO MRI (Erlangen, Germany) and 32-channel phase array head coil.
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3

Porcine MRI for Biomedical Research

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Pigs were scanned used a clinical 3 T Trio MRI with an integrated spine coil (Siemens Medical Solutions, Malvern, PA, USA) using standard clinical sequences including T1-weighted, T2-weighted, and T1-weighted post-gadolinium (0.1 mmol/kg intravenous, Multihance, Bracco Diagnostics, Italy). Scans were reviewed and processed using RadiAnt DICOM Viewer (Medixant, Poznań, Poland) [10 (link)].
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4

Multimodal Neuroimaging of Healthy Children

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Fifteen healthy controls (8 males; mean age 10.2 years ± 3.1; range 4–14) completed MR imaging at the Boston Children’s Hospital, Boston, MA, USA. MR acquisitions were performed on a Siemens 3T Trio MRI. Diffusion scans were acquired using a multi-direction (n = 90) and multi-b-value scheme ranging from 400 to 3000 s/mm2 according to the Cube and Sphere (CUSP) gradient set of Scherrer and Warfield (2012) (link) (12 at b = 0 s/mm2, 6 at b = 400 s/mm2, 6 at b = 600 s/mm2, 6 at b = 800 s/mm2, 30 at b = 1000 s/mm2 and 30 gradients on the cube of constant TE, with b-values in the interval 1000 < b < 3000 s/mm2). Other acquisition parameters were: 128 ± 128 matrix, FOV 220 mm, TR/TE: 5700/89 ms, 1.7 × 1.7 × 2 mm3. Eddy currents were minimized by using a twice refocused spin echo sequence (Reese et al., 2003 (link)). An anatomical T1-weighted 1 mm isotropic MPRAGE image was also acquired for each subject (256 × 256 matrix, FOV 200–256 mm, TR/TE 2530/3.54 ms). The study was approved by the Institutional Review Board and all participants provided informed consent. Finally, a separate HCP dMRI dataset with an isotropic voxel size of 1.25 mm was also analysed. Only the b = 3000 s/mm2 shell with 90 diffusion directions was used.
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5

Multimodal MRI Neuroimaging Protocol

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T1-weighted MPRAGE (176 slices, voxel size =1.0 x 1.0 x 1.0 mm, TR =1900 msec, TE =2.52 msec, and FoV =256 mm) and DTI (64 directions, 60 slices, voxel size =2.0 x 2.0 × 2.0 mm, TR =9000 msec, TE =99 msec, FoV =220 mm, and b =1100 s/mm2) scans were collected using a Siemens 3T Trio MRI with a 32-channel head coil.
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6

Facial Identity Recognition Training for fMRI

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Before scanning, all participants were placed in a mock MR scanner for ∼20 min and practiced lying still. This procedure is highly effective at acclimating participants to the scanner environment and minimizing motion artifact and anxiety (Scherf et al., 2015 (link)). During this mock scanning session, participants engaged in a practice version of the scanner recognition task and encoded four exemplars of each of the target male and female identities. An adult male face and an adult female face were presented side-by-side and labeled as “John” and “Jane.” Participants were given 10 seconds to encode the faces. Following this, participants engaged in four practice blocks of the task (two male and two female) using novel exemplar and distractor faces. The task involved looking at blocks of 12 sequentially presented faces and identifying the two target identities among 10 distractor faces. No stimuli from the practice task were used in the scanner task (see below).
Participants were scanned using a Siemens 3T Trio MRI with a 12-channel phase array head coil at the Social, Life, and Engineering Imaging Center (SLEIC) at Penn State University. During the scanning session, visual stimuli were displayed on a rear-projection screen located inside the MR scanner.
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7

Multimodal MRI Acquisition Protocol

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All MRI data were acquired on a 3T Trio MRI (Siemens Medical Solutions, Erlangen, Germany). Images were acquired using a body coil for transmission and a 12-element coil for reception. In addition to the diffusion data, T2- (T2w) and T1-weighted (T1w) images were acquired and used for clinical evaluation of gross brain abnormalities in each subject. In addition, a field map image coplanar to the diffusion acquisition was acquired using a pair of non-EPI gradient echo images at two echo times and employed to correct for image distortions from B0 field inhomogeneities.
Diffusion imaging data were acquired using a diffusion-weighted spin-echo Echo Planar Imaging sequence (EPI) for a total of 64 uniformly distributed gradient directions and for two b values (b = 1000 and 2000 s/mm2). Ten non-weighted diffusion images (b=0 s/mm2) were also collected. Other image parameters included: 55 contiguous slices, isotropic voxel size of 2.3x2.3x2.3 mm3, TR = 8s, TE = 97ms, parallel imaging with an acceleration factor of 2, and a phase partial Fourier factor of 6/8.
Anatomical T1w data were acquired using a magnetization prepared rapid gradient-echo (MPRAGE) sequence with resolution of 1x1x1mm3 resolution, TR=2300ms, TE=2.98ms, TI=900ms, and a flip angle of 9°.
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8

Diffusion Tensor Imaging Protocol

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Imaging data was collected using a Siemens 3T TRIO MRI (Erlangen, Germany), running VB17 software and equipped with a 32-channel RF head coil. DTI data was collected using a spin-echo, EPI sequence with a spatial resolution of 1.7×1.7×3.0 mm. The sequence parameters were: TE/TR=87/8000 ms, FOV=200 mm, axial slice orientation with 50 slices and no gaps, 64 isotropically distributed diffusion weighted directions, two diffusion weighting values (b=0 and 700 s/mm2) and five b=0 images. Subjects’ head movement was minimized with restraining padding.
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9

Multi-Modal Brain Imaging Protocol

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All imaging was performed at the University of Maryland Center for Brain Imaging Research using a Siemens 3T TRIO MRI (Erlangen, Germany) system and 32-channel phase-array head coil. Three white-matter-related imaging protocols were applied to each subject: high-angular resolution diffusion imaging (HARDI) DTI for FA, 3D FLAIR for HWM, and multi b-value diffusion imaging (MBI) for PDI.
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10

Multimodal Brain Imaging Protocol

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All imaging was performed using a Siemens 3T TRIO MRI (Erlangen, Germany) system equipped with a 32-channel phase array head coil. Participants were scanned prior to TMS assessment. A high resolution T1-weighted image (0.8 mm isotropic) was obtained (TE/TR/TI=3.04/2100/785 ms, flip angle=11 degrees) for TMS localization. The structural images were aligned to anterior commissure-posterior commissure line (AC-PC). DTI data were collected using a single-shot, echo-planar, single refocusing spin-echo, T2-weighted sequence at 1.7×1.7×3.0 mm, TE/TR=87/8000ms, FOV=220mm, 50 slices and no gaps, five interleaved (every 10 volumes) b=0 volumes and 64 non-colinear distributed diffusion weighted directions with b=700 s/mm2 [62 (link)]. These sequence parameters were calculated using an optimization technique that maximizes the contrast to noise ratio for FA measurements [63 (link)].
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