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32 channel rf receive head coil

Manufactured by Siemens
Sourced in Germany

The 32-channel RF receive head coil is a specialized piece of lab equipment designed for magnetic resonance imaging (MRI) applications. It features 32 independent receive channels, allowing for high-quality signal acquisition and enhanced image resolution. The core function of this coil is to detect and capture the radio frequency (RF) signals emitted by the patient's head during an MRI scan, which are then processed by the imaging system to generate detailed anatomical images.

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29 protocols using 32 channel rf receive head coil

1

3T MRI Structural Brain Imaging

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Data were acquired on Siemens Skyra 3T MRI scanners (Siemens Healthcare, Erlangen, Germany) at the UK Biobank imaging centers in Cheadle, Newcastle, and Reading. A standard Siemens 32-channel RF receive head coil was applied. The brain imaging protocol included a T1-weighted 3D magnetization-prepared rapid gradient echo (MPRAGE) sequence for structural imaging, using in-plane acceleration (iPAT = 2) and a field-of-view (FOV) of 208 × 256 × 256 with isotropic 1 mm spatial resolution.
Raw T1-weighted images were preprocessed by the UK Biobank team using an automated processing pipeline based on FSL tools (Jenkinson et al., 2012 (link)). The preprocessing pipeline included gradient distortion correction, cutting down the FOV, skull stripping, and non-linear transformation to MNI152 space (Alfaro-Almagro et al., 2018 (link)). In-house preprocessing was limited to reducing the size of the images to ease the computational burden of processing large 3D volumes. In particular, the “zoom” function of the multi-dimensional image processing package (scipy.ndimage) of the SciPy ecosystem2 was used to resample each image by a factor of 0.5 using spline interpolation, resulting in images of shape 91 × 109 × 91 with isotropic 2 mm spatial resolution.
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2

Brain MRI Structural Analysis Protocol

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The scanner used for brain MRI data capture is a standard Siemens Skyra 3 T running VD13A SP4, with a standard Siemens 32-channel RF receive head coil, The processing of brain MRI data has been reported previously [19 (link)]. T1-weighted imaging, a high-resolution structural MRI technique producing a strong contrast between white and gray matters, was used for test of brain anatomy [20 (link)], and the brain (gray matter + white matter) volume (mm3) (normalized for head size), gray matter volume, white matter volume, and hippocampus volume were selected and analyzed (Field ID : 25009,25007, 25005, 25019, 25020).
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3

Structural MRI-Based Brain Volumetry

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The gray matter volumes of the brainstem and of the different sub-regions of the cerebellum were obtained via T1 structural MRI using the FAST segmentation tool [13 (link)]. Brain images were acquired using 3T Siemens Skyra (software platform VD13), with standard Siemens 32-channel RF receive head coil [14 (link)]. All the volumes are expressed in mm 3 . Complete information regarding MRI data acquisition and processing can be found at the following link: https://biobank.ctsu.ox.ac.uk/crystal/crystal/docs/brain_mri.pdf (accessed on 1 June 2023).
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4

Structural MRI Acquisition Protocol for UK Biobank

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At both sites, structural MRI scans were acquired on a 3T Siemens Skyra scanner with a standard Siemens 32‐channel RF receive head coil. 3D T1‐weighted MRI scans were obtained using a 3D MPRAGE acquisition sequence with the following parameters: inversion time / repetition time = 880/2000 ms, voxel size = 1 mm isotropic, field of view = 208 mm × 256 mm × 256 mm, in‐plane acceleration factor = 2. Further details on the acquisition protocol are available on the UK Biobank website (http://biobank.ctsu.ox.ac.uk/crystal/refer.cgi?id=1977) and in Miller et al. (2016).
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5

Longitudinal Brain Structure Changes

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MRI data were acquired during the third (2014+) and fourth assessment (2019+) visits at three imaging centers, equipped with identical scanners (Siemens Skyra 3T running VD13A SP4 with a Siemens 32-channel RF receive head coil, Munich, Germany). The average interval between the assessments was 3 years. Structural magnetic resonance (MR) imaging was utilized to estimate the total brain volume (TBV), gray matter volume (GMV), white matter volume (WMV), hippocampus volume (HV) and white matter high-intensity volume (WMHV). The MR imaging protocols have been detailed elsewhere [17 (link)]. All the information on the structural image segmentation and data normalization is available elsewhere [22 (link)]. Publicly available image processing tools, primarily from the FMRIB Software Library, were employed for data processing, utilizing the output of the standard biobank processing pipeline. All data were normalized for head size. Additionally, a new variable, representing the rate of change in brain structure markers, was calculated to depict the longitudinal changes in the brain structure of the participants. A smaller value of the rate of change between the two measurements indicates a faster decrease in brain volume.
The rate of longitudinal change in brain structural markers = [brain image data (2019+) − brain image data (2014+)]/brain image data (2014+).
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6

Mapping Subcortical Gray Matter Viscoelasticity

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Twenty-one healthy volunteers (male; right-handed; 18–33 yo) provided written informed consent and participated in the study approved by our Institutional Review Board. Each participant completed an imaging session performed with a Siemens 3T Trio MRI scanner and 32-channel RF receive head coil (Siemens Medical Solutions; Erlangen, Germany). One male participant (30 yo) completed eight separate imaging sessions over four days to assess the uncertainty in SGM viscoelasticity measurements. Each imaging session comprised a high-resolution, T1-weighted MPRAGE acquisition, a 3D multishot, multislab spiral MRE acquisition [Johnson et al., 2014 (link)], and an auxiliary scan for measuring magnetic field inhomogeneity [Funai et al., 2008 ]. These scans are used to produce the viscoelastic properties of SGM structures, following the procedure outlined in Figure 1 and described in the following section.
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7

Multimodal brain imaging acquisition

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Details of the image acquisition are available online [34 ]. Magnetic resonance imaging (MRI) was performed using a Siemens Skyra 3T running VD13A SP4 (Siemens Healthcare, Erlangen, Germany) with a Siemens 32-channel RF receive head coil. Diffusion MRI images were obtained using a Stejskal-Tanner pulse sequence with two b-values (b = 1000 and 2000 s/mm2), and a 2mm spatial resolution (3× multislice acquisition, 100 distinct diffusion-encoding directions, and a field-of-view of 104×104×72). T1-weighted structural brain images were obtained using a three-dimensional MPRAGE sequence with a slice thickness of 1mm and a field-of-view of 208×256×256.
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8

Multiorgan COVID-19 MRI Protocol Comparison

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Table 1 reports the details of the brain MRI sequences included in the multiorgan COVID-19 protocol, in comparison with the UKB protocol. Below we describe the rationale for the inclusion of these MRI sequences and, where applicable, deviations from the UKB protocol.
The scanner used in UKB is a standard Siemens Skyra 3T running VD13A, with a standard Siemens 32-channel RF receive head coil. The multiorgan COVID-19 protocol was setup on a Siemens Prisma 3T running VE11C, with a Siemens 20-channel head coil.
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9

UK Biobank Brain MRI Data Processing

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Brain magnetic resonance imaging (MRI) data were collected for a subsample of UK Biobank participants at four study sites (Stockport (Cheadle), Reading, Newcastle, and Bristol), and raw imaging data were further processed by the UK Biobank to provide image-derived phenotypes for researchers’ use [23 (link)]. Details on the imaging procedures, processing pipeline and derivation of imaging-derived phenotypes have been discussed in prior studies [23 (link),24 (link)]. Briefly, brain imaging was carried out using a Siemens Skyra 3T scanner (running on VD13A SP4 software) with a standard Siemens 32-channel RF receive head coil and with the scan covering from the top of the cranium to the neck/mouth region [23 (link)]. T1-weighted and T2-FLAIR structural imaging were acquired using straight sagittal orientation and were centrally preprocessed to derive brain volumetric measures including total brain volume, grey matter volume, white matter volume, hippocampal volume, and volume of white matter hyperintensities, which we used in this study. The brain volumes were calculated using FreeSurfer software, and we normalized for participant head size using a T1-based head sizing scaling factor (scaled brain volume = brain volume × head size scaling factor) [23 (link)], and log-transformed the volume of white matter hyperintensities for approximating normal distribution.
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10

UK Biobank Brain Imaging Protocol

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The UK Biobank is an effort led to collect diverse phenotypic data to promote population-level assessments of lifestyle, environment, and genetics on biology and health presentation. A subset of subjects enrolled in the study participated in brain imaging, from which the first imaging session’s data were retrieved (https://www.ukbiobank.ac.uk)37 (link),38 (link).
Scanner acquisition of brain structural MRI is detailed elsewhere (https://biobank.ctsu.ox.ac.uk/crystal/crystal/docs/brain_mri.pdf). In brief, all three scanning sites used standard Siemens Skyra 3T scanners with a Siemens 32-channel RF receive head coil. T1 and T2-FLAIR acquisitions were both downloaded to support gray and white matter tissue segmentation. T1 acquisition involved a five-minute 3D MPRAGE session at 1×1×1 mm resolution, in-plane acceleration iPAT=2, and prescan-normalization. T2-FLAIR acquisition involved a six-minute 3D SPACE session at 1.05×1×1 mm resolution, in-plane acceleration iPAT=2, partial Fourier = 7/8, fat saturation, elliptical k-space scanning, and pre-scan normalization78 (link).
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