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Skyra 3 tesla scanner

Manufactured by Siemens
Sourced in Germany

The Skyra 3 Tesla scanner is a magnetic resonance imaging (MRI) system manufactured by Siemens. It operates at a magnetic field strength of 3 Tesla, providing high-quality imaging capabilities. The scanner is designed to capture detailed anatomical and functional information about the human body.

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15 protocols using skyra 3 tesla scanner

1

Multimodal Neuroimaging Protocol for Task fMRI

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Images were acquired on a Siemens Skyra 3-Tesla scanner with a 32-channel head matrix coil at the University of Texas at Austin Biomedical Imaging Center. T1-weighted structural images were collected with an MPRAGE sequence (TR = 2530 ms, TE = 3.37 ms, FOV = 256, 1 × 1 × 1mm voxels), and T2-weighted structural images were collected with a turbo spin echo sequence (TR = 3200 ms, TE = 412 ms, FOV = 250, 1 × 1 × 1 mm voxels). Task functional images were collected using a multi-band echo-planar sequence (TR = 2000 ms, TE = 30 ms, flip angle = 60°, multiband factor = 2, 48 axial slices, 2 × 2 × 2 mm voxels, base resolution = 128 × 128). All tasks were run using PsychoPy software (Peirce, 2007 ) and stimuli were projected onto a screen (resolution of 1920 × 1080) that participants viewed using a mirror attached to the head coil. Participants used Optoacoustics headphones (OptoAC-TIVE Optical MRI Communication System with Active Noise Control) and responded using a two-button response box (FIU-932 Current Designs).
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2

High-quality HCP reference dataset

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As a frame of reference, we included a second dataset with repeated scans from healthy young adults from the Human Connectome Project (HCP, Van Essen et al., 2013 (link)). Previous studies have already tested the effects of thresholding using on this dataset but since network reconstruction pipelines always differ slightly across studies. We included these controls in our study to have a high‐quality reference, reconstructed with the exact same software packages, and tractography algorithm as our patient data. We selected 44 healthy participants (32% male) with scan–rescan DWI and T1‐weighted images. The rescan interval ranged between 1.5 and 11 months (mean ± SD: 4.7 ± 2 months) and the age of the participants varied between 22 and 35 years old. MRI was acquired on a Siemens Skyra 3 tesla scanner (Siemens, Erlangen, Germany). T1‐weighted images had an isotropic voxel size of 1.25 mm3. The multi‐shell DWI were acquired with an isotropic voxel size of 1.25 mm3 and three diffusion weightings (b‐values: 1000, 2000, and 3000 s/mm2). For each b‐value, 90 diffusion‐sensitizing gradients directions were measured. Additionally, 18 images with no diffusion weighting (b‐values = 0 s/mm2) were obtained. Here, we selected only a single shell (b‐value 1000 s/mm2), since it was more comparable to the patient dataset described above.
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3

Cardiac Surgery Neuroimaging Protocol

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Patients underwent MRI scans (Siemens Skyra 3 Tesla scanner with a 20-channel head coil) before surgery and on days 7 and 30 after cardiac surgery. The controls were only scanned once. High- resolution sagittal three-dimensional magnetization-prepared rapid acquisition with gradient echo structural images were acquired with the following parameters: matrix, 256 × 256; field-of-view, 256 mm × 224 mm; 192 one-millimeter-thick slices; echo time, 2.98 ms; repetition time, 2530 ms. Axial T2-weighted imaging images were acquired with the following parameters: matrix, 320 × 320; field-of-view, 230 mm × 230 mm; 18 six-millimeter-thick slices; echo time, 99 ms; repetition time, 6000 ms. Rs-fMRI was acquired with the following parameters: matrix, 64 × 64; field-of-view, 220 mm × 220 mm; 35 three-millimeter-thick slices; echo time, 30 ms; repetition time, 2000 ms.
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4

Functional MRI Acquisition Protocol

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We acquired T2-weighted functional images on a Siemens Skyra 3 Tesla scanner. We used gradient-echo-planar imaging (EPI) pulse sequence that sets the slice angle of 30° relative to the anterior-posterior commissure line, minimizing the signal loss in the orbitofrontal cortex region (Weiskopf et al., 2006 (link)). We acquired 38 slices, 3mm thick with the following parameters: repetition time (TR) = 1200 ms, echo time (TE) = 24 ms, flip angle = 67°, field of view (FoV) = 192mm, voxel size = 3 × 3 × 3 mm3. Contiguous slices were acquired in interleaved order. We also acquired a field map to correct for potential deformations with dual echo-time images covering the whole brain, with the following parameters: TR = 630 ms, TE1 = 10 ms, TE2 = 12.46 ms, flip angle = 40°, FoV = 192mm, voxel size = 3 × 3 × 3 mm3. For accurate registration of the EPIs to the standard space, we acquired a T1-weighted structural image using a magnetization-prepared rapid gradient echo sequence (MPRAGE) with the following parameters: TR = 1800 ms, TE = 2.96 ms, flip angle = 7°, FoV = 256mm, voxel size = 1 × 1 × 1 mm3.
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5

Neuroimaging Study of Twin Participants

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All procedures followed the human subjects research regulations overseen by the University of Texas at Austin Institutional Review Board. Twins were scanned consecutively on the same day. Parents provided informed consent for their children’s participation, and participants provided informed assent. Participants were compensated for their time. Images were acquired on a Siemens Skyra 3-Tesla scanner with a 32-channel head matrix coil. We collected T1-weighted structural images with an MPRAGE sequence (TR = 2530 ms, TE = 3.37 ms, FOV = 256, 1×1×1mm voxels), as well as T2-weighted structural images with a turbo spin echo sequence (TR = 3200 ms, TE = 412 ms, FOV = 250, 1×1×1mm voxels). During tasks, we collected functional images using a multi-band echo-planar sequence (TR = 2000 ms, TE = 30 ms, flip angle = 60°, multiband factor = 2, 48 axial slices, 2×2×2mm voxels, base resolution = 128×128). Tasks were run on PsychoPy version 1.8 (Peirce, 2007 (link)); stimuli were projected at a resolution of 1920×1080 to a screen that participants viewed via a mirror attached to the head coil. Participants wore Optoacoustics headphones and provided responses using a two-button response pad.
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6

Menstrual Phase Brain Imaging Protocol

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All participants underwent an MRI examination on the one of the first to third day of their menstrual cycle (menstrual phase) using a Siemens Skyra 3-Tesla scanner in the Department of Radiology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University. The coil was a head-and-neck-combined 20-channel coil. During the scan, the participants closed their eyes, stayed awake, and avoided systematic thinking. Earplugs and restraining foam pads were used to reduce noise and head movement. After the scan, the patients were asked if they were asleep, and only those who remained awake were included in the study.
T2-weighted images were first performed to exclude intracranial lesions, and then high-resolution T1-weighted images and functional images (echo-planar imaging sequence, EPI; 250 measurements) were collected. The parameters of the MRI scan are shown in Table 1.
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7

Multimodal Neuroimaging of Alzheimer's Disease

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NWSI was piloted using a database of MRI and amyloid PET images obtained through 1Florida ADRC. For this pilot project, currently 273 structural MRI, 43 18F-Florbetapir PET scans, and 89 18F-Florbetaben PET scans are available. The MRI images were obtained using a Siemens Medical System Skyra 3 Tesla Scanner. The DTI scans were used to measure radial, axial, and mean diffusivity, as well as fractional anisotropy (FA). PET images were obtained from a Siemens Biograph 16 Hi-Rez PET-CT machine.
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8

Multi-echo fMRI for BOLD T2* Characterization

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Imaging was performed with a Siemens Magnetom Skyra 3 Tesla scanner. A 16-channel transmit/receive head coil was used for data acquisition. Structural images were acquired with a T1-weighted MPRAGE sequence (field-of-view (FOV) 230 mm, in plane resolution 256 × 256, 224 slices with a thickness of 0.9 mm, TI = 1000 ms). Functional BOLD scans were acquired with a multi-echo echo-planar imaging (EPI) sequence (FOV 228 mm, in plane resolution 90 × 90, 60 slices with a thickness of 2.5 mm, TR = 2800 ms, flip angle = 82 degrees). The 3 echo times were 12.8 ms, 34.3 ms, and 55.6 ms, which allowed for the characterization of the T2* decay of the BOLD signal (Posse et al. 1999 (link)). The duration of the BOLD scans was 30 min (645 volumes). Subjects were instructed to rest but stay awake and to not think about anything in particular.
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9

Multimodal Neuroimaging Protocol for Task fMRI

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Images were acquired on a Siemens Skyra 3-Tesla scanner with a 32-channel head matrix coil at the University of Texas at Austin Biomedical Imaging Center. T1-weighted structural images were collected with an MPRAGE sequence (TR = 2530 ms, TE = 3.37 ms, FOV = 256, 1 × 1 × 1mm voxels), and T2-weighted structural images were collected with a turbo spin echo sequence (TR = 3200 ms, TE = 412 ms, FOV = 250, 1 × 1 × 1 mm voxels). Task functional images were collected using a multi-band echo-planar sequence (TR = 2000 ms, TE = 30 ms, flip angle = 60°, multiband factor = 2, 48 axial slices, 2 × 2 × 2 mm voxels, base resolution = 128 × 128). All tasks were run using PsychoPy software (Peirce, 2007 ) and stimuli were projected onto a screen (resolution of 1920 × 1080) that participants viewed using a mirror attached to the head coil. Participants used Optoacoustics headphones (OptoAC-TIVE Optical MRI Communication System with Active Noise Control) and responded using a two-button response box (FIU-932 Current Designs).
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10

MRI-based Cortical Parcellation and ROI Extraction

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MRI data were acquired on a Siemens Skyra 3 Tesla scanner with a 32-channel head coil at the University of Arizona. A whole-brain T1-weighted magnetization-prepared rapid acquisition gradient echo (MPRAGE) image was acquired with the following parameters: 160 sagittal slices; slice thickness = 0.9 mm; field of view = 240 × 240 mm; matrix = 256 × 256; repetition time (TR) = 2.3 s; echo time (TE) = 2.98 ms; flip angle = 9°; GRAPPA acceleration factor = 2; voxel size = 0.94 × 0.94 × 0.94 mm.
Cortical surfaces were reconstructed from the T1-weighted MPRAGE images using Freesurfer version 5.3 (Dale et al., 1999 (link)) running on Linux (xubuntu 16.04). Four surface-based anatomical regions of interest (ROIs) were defined using automated cortical parcellation (Fischl et al., 2004 (link)). Specifically, HG and the STG were identified in the left and right hemispheres based on the Desikan-Killiany atlas (Desikan et al., 2006 (link)).
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