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20 channel array head coil

Manufactured by Siemens
Sourced in Germany

The 20-channel array head coil is a component designed for medical imaging applications. It provides multiple receiver channels to enable simultaneous data acquisition from different regions of the head. The core function of this coil is to enhance the signal-to-noise ratio and improve the quality of the acquired images, supporting various diagnostic and research purposes.

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2 protocols using 20 channel array head coil

1

fMRI Acquisition and Preprocessing Protocol

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For imaging data collection, participants were scanned using a 3T MR system (MAGNETOM Prisma, Siemens, Erlangen, Germany) and a 20-channel array head coil at the Imaging Center for Integrated Body, Mind, and Culture Research, National Taiwan University. In the functional scanning, about 2.5 mm slices of axial images were acquired using a gradient echo planar imaging (EPI) with the following parameters: time to repetition = 2500 ms, echo time = 30 ms, flip angle = 87°, in-plane field of view = 192 × 192 mm, and acquisition matrix = 78 × 78 × 45 to cover whole cerebral area. For spatial individual-to-template normalization in preprocessing, a Magnetization Prepared Rapid Gradient Echo T1-weighted imaging with spatial resolution of 0.9 mm isotropic was acquired for each participant.
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2

Anatomical T1-Weighted MRI for VBM Analysis

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Anatomical T1-weighted MRI was acquired using a 3T scanner (PRISMA, Siemens AG Erlangen, Germany) with a 20-channel array head coil. In order to obtain a highresolution anatomical image of each participant's brain, an anatomical T1-weighted 2D magnetization-prepared rapid gradient echo sequence was used (repetition time/inversion time/echo time 2,300/900/4.18 ms, flip angle 9°, field of view 256 × 256 mm 2 , matrix 256 × 256, 176 slices, voxel size 1 × 1 × 1 mm 3 ). We used the CAT 12 toolbox (Computational Anatomy Toolbox 12) of the structural brain mapping group (Jena University Hospital, Germany), which is implemented in Statistical Parametric Mapping 12 (Institute of Neurology, London, UK) for voxel-based morphometry (VBM) analysis. 24 For white matter hyperintensities, a global burden was calculated using Fazekas scale for periventricular and deep white matter lesions. 25 An optimized method of VBM segmentation was applied using customized templates and prior probability maps with diffeomorphic anatomical registration exponentiated lie algebra (Dartel). 25 Images were smoothed with an 8-mm full-width at halfmaximum smoothing kernel.
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