Neuroimaging was performed using Siemens (RIH) and GE (PBRC) 3T MRI scanners during natural and non-sedated sleep (daytime nap or nighttime sleep) [20 (link)] at V2 (3 months), V3 (6 months), V5 (12 months), V6 (18 months), and V7 (24 months). The multimodal neuroimaging protocol consisted of mcDESPOT multi-component relaxometry imaging (myelin water imaging) to assess brain myelination, high-resolution anatomical T1-weighted MP-RAGE acquisition for volumetric and morphometry analysis, multiple b-shell diffusion-weighted images to examine the tissue microstructure and architecture, and resting-state functional MRI (rsfMRI) to assess functional connectivity (Supplementary Table S1 ). Data were collected using acoustically de-rated sequences in combination with passive noise-cancellation measures (e.g., sound-insulating foam, ear plugs, and protectors) to minimize sound disruption to the sleeping infants. Infants were further swaddled in a MedVac pediatric immobilizer to help minimize child motion. Throughout scanning, the child was visually monitored for movement, with scanning paused at signs of the child waking or moving. Where possible (i.e., the infant was still asleep), images with motion artifacts were repeated.
3t mri scanner
Manufactured by GE Healthcare
Sourced in United States
The 3T MRI scanner is a magnetic resonance imaging (MRI) device that operates at a magnetic field strength of 3 Tesla. It is designed to capture high-resolution images of the body's internal structures and functions. The 3T MRI scanner uses strong magnetic fields and radio waves to generate detailed images, allowing healthcare professionals to diagnose and monitor various medical conditions.
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Lab products found in correlation
Endorectal coil, by GE Healthcare (3 mentions)
Aw server, by GE Healthcare (1 mentions)
32 channel head coil, by GE Healthcare (1 mentions)
3t mri scanner, by Siemens (1 mentions)
Trityl radical ox063, by Oxford Instruments (1 mentions)
Hypersense, by Oxford Instruments (1 mentions)
Matlab, by MathWorks (1 mentions)
8 channel head coil, by GE Healthcare (1 mentions)
Butorphanol, by Zoetis (1 mentions)
Isoflurane, by Baxter (1 mentions)
Propofol, by B. Braun (1 mentions)
8 channel phased array head coil, by GE Healthcare (1 mentions)
54 protocols using 3t mri scanner
1
Multimodal Neuroimaging of Infant Brain Development
2
ADNI Diffusion-Weighted MRI Protocol
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Imaging data were downloaded from the ADNI2 database. All participants had whole-brain MRI scans according to the ADNI protocol (Alzheimer’s Disease Neuroimaging Initiative, 2008 ). Specifically, images were acquired from 3T MRI scanners (GE Medical Systems). Axial diffusion weighted image data were acquired with a spin echo echo planar imaging sequence. Scan parameters were: acquisition matrix = 256 × 256, voxel size = 1.4 × 1.4 × 2.7 mm3, number of slices = 59. There were 46 images acquired for each scan: 41 diffusion-weighted images (b = 1000 s/mm2) and 5 non-diffusion-weighted images (b = 0 s/mm2). Repetition time varied across scanning sites, but was approximately 12,500–13,000 ms.
3
Multimodal MRI Protocol for Alzheimer's Research
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All participants underwent whole‐brain MRI scans using the ADNI protocol. All MRI were carried out using 3 T MRI scanners (GE Medical Systems) from seven North American sites. Sagittal MPRAGE T1‐weighted scans were acquired with the following parameters: TR = 7.34 ms; TE = 3 ms; TI = 400 ms; FA =11°; acquisition matrix = 256 × 256; number of slices = 180, yielding scans with voxel size = 1 × 1 × 1.2 mm3. Axial diffusion weighted image data were acquired with a spin echo planar imaging sequence with the following parameters: acquisition matrix = 256 × 256, voxel size = 1.4 × 1.4 × 2.7 mm3; flip angle = 90°; number of slices = 59. There were 46 images acquired for each scan: 41 diffusion‐weighted images (b = 1,000 s/mm2), and 5 non‐diffusion‐weighted images (b = 0 s/mm2). Repetition time varied across scanning sites, and was approximately between 12,500 and 13,000 ms.
4
Diffusion-Weighted MRI Imaging Protocol
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According to ADNI protocol, images were acquired from 3 T MRI scanners (GE Medical Systems). Axial diffusion-weighted image data were acquired with a spin echo planar imaging sequence. Scan parameters are as follows: acquisition matrix = 256 × 256, voxel size = 1.4 × 1.4 × 2.7 mm3, flip angle = 90°, number of slices = 59. There were 46 images acquired for each scan: 41 diffusion-weighted images (b = 1000 seconds/mm2) and five non–diffusion-weighted images (b = 0 seconds/mm2). Repetition time varied across scanning sites, but was approximately 13,000 milliseconds.
5
Diffusion Weighted Imaging Protocol for ADNI
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According to ADNI protocol, images were acquired from 3T MRI scanners (GE Medical Systems). Axial diffusion weighted image data were acquired with a spin echo planar imaging sequence. Scan parameters were as follows: acquisition matrix = 256 × 256, voxel size = 1.4 × 1.4 × 2.7 mm3, flip angle = 90°, number of slices = 59. There were 46 images acquired for each scan: 41 diffusion-weighted images (b = 1,000 s/mm2) and five non-diffusion-weighted images (b = 0 s/mm2). Repetition time varied across scanning sites but was approximately 13,000 ms.
6
Automated White Matter Hyperintensity Segmentation
7
Diffusion-Weighted MRI Protocol for Rectal Cancer
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Raw k-space data from 120 patients were collected retrospectively on 13 3T MRI scanners (GE Healthcare, Waukesha, WI, USA) with approval from the institutional review board. Eighty-five datasets (3079 images for different slices in the acquisition, 70%) were used for network training, 15 datasets (608 images, 12.7%) were used for cross-validation, and 20 datasets (760 images, 16.9%) were used for testing different versions of the deep learning approach. DWI data were acquired using a ss-EPI DWI pulse sequence as part of our standard rectal MRI examination. Diffusion gradients were applied simultaneously along the three spatial dimensions x, y and z with b = 0, 50 (low b-value) and 800 (high b-value) s/mm2. Low b-value data acquisition was performed with 2 or 4 repetitions (NEX = 2 or 4) and high b-value with 16 repetitions (NEX = 16). Relevant imaging parameters include the following: field of view (FOV) = 16–20 cm, phase-encoding FOV coverage = 100%, slice thickness = 5 mm, space between slices = 1 mm, number of slices = 30–50, TR = 6–8 s, TE = 54–74 ms (shortest TE available using partial Fourier as determined by the vendor implementation of the sequence), in-plane matrix size = 140 × 140.
8
Cerebral Blood Flow Quantification Protocol
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MRI scans were performed on two 3T MRI scanners (GE Healthcare) using a 32- or 48-channel head coil. ASL was acquired as a 3D pseudocontinuous (PCASL) sequence with spiral readout and background suppression using flip angle (FA) = 111°, echo time (TE) = 10.6 ms, repetition time (TR) = 4635 ms, label duration of 4 s, and a single post-labelling delay (PLD) of 1.5 s; the reconstructed voxel size was 1.9 × 1.9 × 3.5 mm3. No vascular crushing was used during acquisition. This sequence is the available product sequence from this vendor.
ASL-PWI maps consisted of the averaged subtraction of the unlabelled minus the labelled acquisitions as provided directly by the scanner without any additional post-processing. The ASL-PWI maps are not quantitative, containing arbitrary pixel values.
ASL-CBF maps were calculated with a vendor-specific software package (AW Server, GE Healthcare) and in line with the ASL white paper recommendations [14 (link)]. This software package uses a quantification model as described by Maleki et al [15 (link)] to calculate CBF in mL/100 g/min; these maps are thus referred to as quantitative maps.
ASL-PWI maps consisted of the averaged subtraction of the unlabelled minus the labelled acquisitions as provided directly by the scanner without any additional post-processing. The ASL-PWI maps are not quantitative, containing arbitrary pixel values.
ASL-CBF maps were calculated with a vendor-specific software package (AW Server, GE Healthcare) and in line with the ASL white paper recommendations [14 (link)]. This software package uses a quantification model as described by Maleki et al [15 (link)] to calculate CBF in mL/100 g/min; these maps are thus referred to as quantitative maps.
9
Diffusion-Weighted MRI Acquisition for ADNI
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MRI data were downloaded from the ADNI2 database. All participants underwent whole-brain MRI scans according to the ADNI protocol. Images were acquired from 3 T MRI scanners (GE Medical Systems) from seven North American sites. Axial diffusion weighted image data were acquired with a spin echo planar imaging sequence. Scan parameters are as follows: acquisition matrix = 256 × 256, voxel size = 1.4 × 1.4 × 2.7 mm3, flip angle = 90°, number of slices = 59. There were 46 images acquired for each scan: 41 diffusion-weighted images (b = 1000 s/mm2) and 5 non-diffusion-weighted images (b = 0 s/mm2). Repetition time varied across scanning sites, but was approximately 12,500 to 13,000 ms.
10
Harmonized MRI Brain Data Analysis
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Data were collected using 3 T MRI scanners from GE, Siemens, or Philips. Data collection was harmonized across 10 study sites by adjusting acquisition sequences. Details of data acquisition and processing can be found in [49 (link)]. Here, we used grey matter volume and thickness measures provided by the PING consortium, as derived from FreeSurfer [43 (link)].
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