32 channel receiver head coil

Manufactured by Siemens

Sourced in Germany

The 32-channel receiver head coil is a specialized piece of lab equipment designed to be used with magnetic resonance imaging (MRI) systems. It serves as a receiver for the electromagnetic signals generated during the MRI process, allowing for the acquisition of high-quality images of the human head and brain.

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Lab products found in correlation

Skyra 3t scanner, by Siemens (4 mentions) Prisma 3t scanner, by Siemens (3 mentions) 7t scanner, by Siemens (2 mentions) Magnetom prisma 3t, by Siemens (1 mentions) Prisma 3t mri scanner, by Siemens (1 mentions) Magnetom trio tim 3.0 t system, by Siemens (1 mentions) Tim trio, by Siemens (1 mentions) 3 t connectom mri scanner, by Siemens (1 mentions)

16 protocols using 32 channel receiver head coil

Functional and Structural Neuroimaging of Cognitive Task

Cited 2 times

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Participants were scanned with a 3T Siemens magnet with a 32-channel receiver head coil. Functional scans used an 80 × 80 reconstruction matrix in a 240 mm² field of view [Flip angle = 90° (young adult sample)/75° (adolescent sample), echo time (TE) = 35 ms, repetition time (TR) = 2000 ms, 2.5 mm³ voxels]. Functional slice acquisition was interleaved, and 52 slices were collected, allowing for complete brain coverage. For each of five functional runs, 495 TRs of trials and fixation were collected for young adults and 243 TRs were collected for adolescents. A structural scan was performed using a T1-weighted anatomical imaging (1 mm³ resolution). A diffusion tensor imaging (DTI) scan and a fieldmap were also collected.
The task was presented using PsychoPy presentation software version 1.82.01 (Peirce, 2007 (link), 2008 (link); Peirce et al., 2019 (link)). Stimuli were presented in the scanner using a projector and a mirror placed on the headcoil. Participant responses were made with two 2-button optical fiber response boxes (one in each hand) and recorded by PsychoPy through interface with an A/D converter.

Pizzie R.G., McDermott C.L., Salem T.G, & Kraemer D.J. (2020). Neural evidence for cognitive reappraisal as a strategy to alleviate the effects of math anxiety. Social Cognitive and Affective Neuroscience, 15(12), 1271-1287.

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Metabolite Concentrations in Frontal Cortex

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Nine healthy volunteers (three women and six men; age = 28 ± 8 years) were recruited for measurements of metabolite concentrations and relaxation times in the frontal cortex. Two of the volunteers were scanned twice. No data were excluded and all collected data were used in the analysis. All volunteers gave informed consent in accordance with procedures approved by our local institutional review board. Experiments were performed on a Siemens 7 T scanner equipped with a 32-channel receiver head coil. T₁-weighted magnetization prepared rapid gradient echo (MPRAGE) images were acquired with TR = 3 s, TE = 3.9 ms, matrix = 256 × 256 × 256, and resolution = 1 × 1 × 1 mm³ to position the MRS voxel and perform tissue segmentation. For each subject, MRS data were collected from two 2 × 2 × 2 cm³ voxels in the frontal cortex. One voxel was placed in the grey matter (GM) dominant region of prefrontal cortex (PFC) and medial pregenual anterior cingulate cortex (pgACC), both of which have been implicated in several brain disorders (23 (link),24 (link)). The other voxel was placed in the white matter (WM) dominant right frontal cortex. B₀ field inhomogeneities were minimized by first- and second-order shimming, achieving mean water linewidth of 11.1 Hz and 13.4 Hz for the voxels in the GM and WM regions, respectively. MRS data acquisition for each voxel lasted < 10 min.

An L., Li S, & Shen J. (2017). Simultaneous Determination of Metabolite Concentrations, T1 and T2 Relaxation Times. Magnetic resonance in medicine, 78(6), 2072-2081.

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Multimodal MRI Acquisition Protocol

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Preoperative MRI data were acquired on a Siemens Skyra 3T scanner (Erlangen, Germany) equipped with a 32-channel receiver head coil at Charité University Hospital, Berlin, Department of Neuroradiology. These data consisted of a high-resolution contrast enhanced T1-weighted structural scan (TR/TE/TI 2300/2.32/900 ms, 9° flip angle, 256 × 256 matrix, 1 mm isotropic voxels, 192 slices, acquisition time: 5 min) and a single shell dMRI 2 × 2 × 2 mm³ voxels, 128 × 128 matrix, 60 slices, 3 b0 volumes) image data set, acquired at b = 0 and 1000 s/mm² with 5 and 30 volumes respectively, for a total acquisition time of 12 min. Additionally, T2-weighted and 3D fluid-attenuated inversion recovery (FLAIR) and subtraction sequences were performed.

Fekonja L.S., Wang Z., Cacciola A., Roine T., Aydogan D.B., Mewes D., Vellmer S., Vajkoczy P, & Picht T. (2022). Network analysis shows decreased ipsilesional structural connectivity in glioma patients. Communications Biology, 5, 258.

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Structural and Diffusion MRI Acquisition

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T1-weighted magnetic resonance imaging (MRI) Data were acquired on a Siemens Skyra 3T scanner (Erlangen, Germany) equipped with a 32-channel receiver head coil at the Charité University Hospital’s Department of Neuroradiology. These data consisted of a T1-weighted structural (TR/TE/TI 2300/2.32/900 m s, 9° flip angle, 256 x 256 matrix, 1 mm isotropic voxels, 192 slices, acquisition time: 5 min) and a single shell dMRI acquisition (TR/TE 7500/95m s, 2 x 2 x 2 mm 3 voxels, 128 x 128 matrix, 60 slices, 3 b 0 volumes), acquired at b = 1000 s/mm2 with 30 gradient orientations, for a total acquisition time of 12 minutes.

Reisch K., Böttcher F., Tuncer M.S., Schneider H., Vajkoczy P., Picht T, & Fekonja L.S. (2022). Tractography-based navigated TMS language mapping protocol. Frontiers in Oncology, 12, 1008442.

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Optimized Single-Slice GRE EPI for Inflow Effect

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All experiments described below were performed on a Siemens 3T MAGNETOM Prisma clinical scanner with a 32-channel receiver head-coil (Siemens Healthcare GmbH, Erlangen), and used a prototype single slice GRE EPI sequence, with the number of repetitions varied according to the experimental requirements (see following sections). The protocol was optimized for maximum sensitivity to the inflow effect by making the TR as short as possible, which included removing fat saturation pulses. Acquisition parameters were as follows: flip angle = 90°, FOV = 192 mm (2 mm² in-plane resolution), GRAPPA = 5, partial Fourier = 6/8, TR = 15 ms, TE = 6.8 ms, slice thickness = 10 mm. For all in-vivo experiments standard TOF scans were performed in order to guide the placement of DIMAC slices perpendicularly to the artery of interest. All participants gave written informed consent, and the School of Psychology Cardiff University Ethics Committee approved the study in accordance with the guidelines stated in the Cardiff University Research Framework (version 4.0, 2010). Data are publically available through the Open Science Framework (DOI 10.17605/OSF.IO/ZQ5E3).

Whittaker J.R., Fasano F., Venzi M., Liebig P., Gallichan D., Möller H.E, & Murphy K. (2022). Measuring Arterial Pulsatility With Dynamic Inflow Magnitude Contrast. Frontiers in Neuroscience, 15, 795749.

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Multimodal Neuroimaging of Pregenual ACC

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Five healthy volunteers (three women and two men; age = 34 ± 17 years) were recruited for the study. All volunteers gave informed consent in accordance with procedures approved by our local institutional review board. Experiments were performed on a Siemens 7 T scanner equipped with a 32-channel receiver head coil. T₁-weighted magnetization prepared rapid gradient echo (MPRAGE) images were acquired with TR = 3 s, TE = 3.9 ms, matrix = 256 × 256 × 256, and resolution = 1 × 1 × 1 mm³ to position the MRS voxel. For each subject, MRS data were collected twice using the proposed pulse sequence from a 2 × 2 × 2 cm³ voxel in the grey matter dominant region of pregenual anterior cingulate cortex (pgACC), which has been implicated in several psychiatric disorders (15 (link)). The MRS pulse sequence used TR = 3.5 s, TE = 56 ms, TE₁ = 40 ms, T_d = 15.3 ms, spectral width = 4000 Hz, number of data points = 1024, number of averages = 72, and total scan time = 4 min and 23 s. Before each MRS scan, B₀ field inhomogeneities were minimized by first- and second-order shimming, achieving mean water linewidth of 11.7 Hz.

An L., Araneta M.F., Johnson C, & Shen J. (2018). Simultaneous Measurement of Glutamate, Glutamine, GABA, and Glutathione by Spectral Editing Without Subtraction. Magnetic resonance in medicine, 80(5), 1776-1786.

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Whole-Brain Diffusion-Weighted Imaging Protocol

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Whole-brain two-shell DWI data were acquired using a Siemens 3T Prisma MRI scanner and a 32-channel receiver head coil (Siemens Medical Systems) at the Cardiff University Brain Research Imaging Centre with single-shot spin-echo echoplanar imaging pulse sequence (echo time 67 ms, repetition time 9400 ms, field-of-view 256 × 256 mm, acquisition matrix size 128 × 128, voxel size 2 × 2 × 2 mm). Diffusion sensitizing gradients were applied in 30 isotropic directions at a b value of 1200 s/mm² and in 60 isotropic directions at a b value of 2400 s/mm². Six images with no diffusion weighting (b = 0 s/mm²) were also acquired. Participants also underwent high-resolution T1-weighted magnetization prepared rapid gradient echo scanning (MPRAGE; echo time: 3.06 ms; repetition time: 2250 ms sequence, flip angle: 9°, field-of-view: = 256 × 256 mm, acquisition matrix: 256 × 256, voxel size: 1 × 1 × 1 mm).

Karahan E., Costigan A.G., Graham K.S., Lawrence A.D, & Zhang J. (2019). Cognitive and White-Matter Compartment Models Reveal Selective Relations between Corticospinal Tract Microstructure and Simple Reaction Time. The Journal of Neuroscience, 39(30), 5910-5921.

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High-Resolution 3T MRI Brain Imaging

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All imaging data was acquired on a Siemens 3.0T Magnetom Tim Trio system using a 32-channel receiver head coil. A whole brain high resolution T₁-weighted magnetization prepared rapid acquisition gradient echo (MP-RAGE) image was acquired for segmentation and registration purposes with the following parameters: TR = 1760 ms, TE = 2.2 ms, time of inversion (TI) = 900 ms, voxel size = 1 mm isotropic, field of view (FOV) = 256 × 256 mm, flip angle = 9°, receiver bandwidth = 200 Hz/pixel and a total scan time of 7 min and 32 s. The 3D structural images were inspected by a practicing neurosurgeon (D.J.C.) to ensure that the anatomical image did not show any structural alterations. The anatomical scans were then brain extracted and segmented using FSL's automated 3D segmentation tool (FAST; Zhang et al., 2001 (link)) to create subject-specific grey-matter (GM), white-matter (WM) and cerebrospinal fluid (CSF) tissue maps.

Champagne A.A., Coverdale N.S., Ross A., Chen Y., Murray C.I., Dubowitz D, & Cook D.J. (2020). Multi-modal normalization of resting-state using local physiology reduces changes in functional connectivity patterns observed in mTBI patients. NeuroImage : Clinical, 26, 102204.

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Brain Imaging Protocol Using 3T MRI Scanner

Cited 1 time

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Individuals participated in a brain imaging scan using a 3T Siemens TIM Trio magnetic resonance imaging (MRI) scanner with a 32-channel receiver head coil. The scanner acquired sagittal T1-weighted structural images with a standard 6.1 min. magnetization-prepared rapid gradient-echo sequence (MPRAGE) utilizing the following parameters: Repetition Time = 1900ms, Echo Time = 2.89ms, Field of View = 256mm, Voxel size = 1mm isotropic voxels, PAT Mode = GRAPPA, and PE = 2. Before the scan, researchers reminded participants to remain as still as possible, and presented participants with a blank screen during the scan (10 (link)).

Hastings WL I.I.I., Willbrand E.H., Elliott M.V., Johnson S.L, & Weiner K.S. (2024). Emotion-related impulsivity is related to orbitofrontal cortical sulcation. bioRxiv.

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High-resolution MRI and dMRI Acquisition

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MRI data were acquired on a Siemens Skyra 3T scanner (Erlangen, Germany) equipped with a 32-channel receiver head coil at Charité University Hospital, Berlin, Department of Neuroradiology. These data consisted of a high-resolution T1-weighted structural (TR/TE/TI 2300/2.32/900 ms, 9° flip angle, 256 × 256 matrix, 1 mm isotropic voxels, 192 slices, acquisition time: 5 min) and a single shell dMRI acquisition (TR/TE 7500/95 ms, 2 × 2 × 2 mm³ voxels, 128 × 128 matrix, 60 slices, 3 b 0 volumes), acquired at b = 1,000 s/mm² with 40 gradient orientations, for a total acquisition time of 12 min.

Fekonja L.S., Wang Z., Aydogan D.B., Roine T., Engelhardt M., Dreyer F.R., Vajkoczy P, & Picht T. (2021). Detecting Corticospinal Tract Impairment in Tumor Patients With Fiber Density and Tensor-Based Metrics. Frontiers in Oncology, 10, 622358.

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