32 channel matrix coil

Manufactured by Siemens

The 32-channel matrix coil is a high-performance radio frequency (RF) coil designed for magnetic resonance imaging (MRI) applications. It features 32 independent receiver channels, enabling parallel imaging techniques for enhanced image quality and reduced scan times. The coil is compatible with Siemens MRI systems and is intended for use by trained medical professionals.

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Lab products found in correlation

Trio mri scanner, by Siemens (4 mentions) Trio mri, by Siemens (1 mentions)

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Matrix coil

5 protocols using 32 channel matrix coil

3T MRI Preprocessing with FSL 5.0.10

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T1-MPRAGE and T2*-weighted echoplanar images (EPI) were collected using a 3T-Siemens Trio MRI scanner with a 32-channel matrix coil. Preprocessing was carried out using FSL 5.0.10 (https://fsl.fmrib.ox.ac.uk/fsl/fslwiki).

Lee T.H., Perino M.T., McElwain N.L, & Telzer E.H. (2019). Perceiving facial affective ambiguity: A behavioral and neural comparison of adolescents and adults. Emotion (Washington, D.C.).

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Multimodal Brain Imaging on 3T MRI

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All imaging data were collected using a 3T-Siemens Trio MRI scanner with a 32-channel matrix coil. High-resolution structural images (T1-MPRAGE) were acquired first (repetition time or TR = 1.9 s, echo time or TE = 2.3 ms, matrix size = 256 × 256, field of view or FOV = 230 mm, flip angle or FA = 90°, 1 mm isotropic voxel). The resting-state data were acquired from a gradient-echo echo-planar image sequence (dataset 1: 180 vol, 38 slices with no inter-slice gap, TR = 2 s, matrix = 92 × 92, FOV = 230 mm, FA = 90°, voxel size 2.5 × 2.5 × 3.3 mm³, 6 min duration; dataset 2: 120 vol; 36 slices with no inter-slice gap, TR = 3 s, matrix = 64 × 64, FOV = 220 mm, FA = 90°, voxel size 3.5 × 3.5 × 4.0 mm³, 6 min duration).

Lee T.H, & Telzer E.H. (2016). Negative functional coupling between the right fronto-parietal and limbic resting state networks predicts increased self-control and later substance use onset in adolescence. Developmental Cognitive Neuroscience, 20, 35-42.

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Neuroimaging Protocol for Emotion Perception

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Imaging data were collected using a 3T-Siemens Trio MRI scanner with a 32-channel matrix coil. High-resolution structural images (T1-MPRAGE) were acquired first (repetition time or TR = 1.9 s; echo time or TE = 2.3 ms; matrix size = 256 × 256; field of view or FOV = 230 mm; flip angle or FA = 90°; 1 mm isotropic voxel). T2*-weighted echoplanar images were acquired during the emotion perception task (38 slices with 0.3 mm inter-slice gap; TR = 2 s; TE = 25 ms; matrix = 92 × 92; FOV = 230 mm; FA = 90°; voxel size 2.5 × 2.5 mm; slice thickness = 3 mm).
Preprocessing was carried out using FEAT (FMRI Expert Analysis Tool) Version 6.00, part of FSL (FMRIB’s Software Library; Smith et al., 2004 ). The following pre-statistics processing was applied: motion correction using MCFLIRT (Jenkinson et al., 2002 (link)); non-brain removal using BET (Smith, 2002 (link)); grand-mean intensity normalization of the entire 4D data set by a single multiplicative factor; spatial smoothing applied only for univariate whole-brain analysis with Gaussian kernel of full width at half maximum 6 mm. For univariate analysis, registration matrix was estimated additionally between functional images, high-resolution structural images and standard Montreal Neurological Institute (MNI) 2-mm brain using FLIRT (Jenkinson and Smith, 2001 (link); Jenkinson et al., 2002 (link)).

Lee T.H., Qu Y, & Telzer E.H. (2017). Love flows downstream: mothers’ and children’s neural representation similarity in perceiving distress of self and family. Social Cognitive and Affective Neuroscience, 12(12), 1916-1927.

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Functional Brain Imaging of Math Task

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Imaging data were collected using a 3T-Siemens Trio MRI scanner with a 32-channel matrix coil. High-resolution structural images (T1-MPRAGE) were acquired first (repetition time or TR = 1.9 s; echo time or TE = 2.3 ms; field of view or FOV = 256 mm; flip angle or FA = 90°; 1 mm isotropic voxel). T2*-weighted echoplanar images (EPIs) were acquired during the math task (280 volumes; 38 slices with no inter-slice gap; TR = 2 s; TE = 25 ms; matrix = 92 × 92; FOV = 230 mm; FA = 90°; voxel size = 2.5 × 2.5 × 3.0 mm³; 0.3 mm slice gap).
Preprocessing was carried out using FEAT Version 6.00, part of FSL (the software library of the Oxford Centre for Functional MRI of the Brain). The following pre-statistics processing was applied: motion correction using MCFLIRT; non-brain removal using BET; grand-mean intensity normalization of the entire 4D data set by a single multiplicative factor; spatial smoothing applied for univariate whole-brain analysis with a Gaussian kernel of full width at half maximum (FWHM) 6 mm, but not for pattern-related analyses. Registration matrix was estimated between functional images, high-resolution structural images, and standard Montreal Neurological Institute (MNI) 2mm brain using FLIRT, and final registration parameters were applied to the functional images for cross-participant analyses (i.e., the mother-child dyad).

Lee T.H., Qu Y, & Telzer E.H. (2018). Dyadic Neural Similarity During Stress in Mother–Child Dyads. Journal of research on adolescence : the official journal of the Society for Research on Adolescence, 28(1), 121-133.

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3T MRI Protocol for Resting-State fMRI

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All imaging data were collected using a 3T-Siemens Trio MRI scanner with a 32-channel matrix coil. High-resolution structural images (T1-MPRAGE) were acquired first (repetition time or TR = 1.9 s, echo time or TE = 2.3 ms, matrix size = 256 X 256, field of view or FOV = 230 mm, flip angle or FA = 90°, 1 mm isotropic voxel). The resting-state data were acquired from a gradient-echo echo-planar image sequence (dataset 1: 180 volumes, 38 slices with no inter-slice gap, TR = 2 s, matrix = 92 X 92, FOV = 230 mm, FA = 90°, voxel size 2.5 X 2.5 X 3.3 mm³, 6 min duration; dataset 2: 120 volumes; 36 slices with no inter-slice gap, TR = 3 s, matrix = 64 X 64, FOV = 220 mm, FA = 90°, voxel size 3.5 X 3.5 X 4.0 mm³, 6 min duration).

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