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Sense head 8 channel head coil

Manufactured by Philips
Sourced in Netherlands

The SENSE-Head-8 channel head coil is a specialized medical imaging device designed for use with magnetic resonance imaging (MRI) systems. It features an 8-channel coil configuration that enables parallel imaging techniques, allowing for faster image acquisition and improved spatial resolution. The coil is optimized for imaging the human head and brain, providing high-quality data capture for diagnostic and research applications.

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6 protocols using sense head 8 channel head coil

1

Normalizing Lesion Volumes Using MRI and Clinical Toolbox

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Data were obtained by retrospectively analyzing structural images routinely acquired presurgery. A 3‐T Philips Achieva whole‐body scanner was used to acquire structural data using a SENSE‐Head‐8 channel head coil. Volumes of interest (VOIs) of the patients’ lesions were drawn on their T1 MRI scans using MRIcron software (https://www.nitrc.org/projects/mricron). We then normalized the VOIs to the Montreal Neurological Institute (MNI) space using the “Clinical Toolbox” (https://www.nitrc.org/projects/clinicaltbx/) for SPM8 (https://www.fil.ion.ucl.ac.uk/spm/).
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2

Volumetric Tumor Analysis from MRI

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Topographic and volumetric descriptions of the tumor were obtained by retrospectively analyzing structural imaging data routinely acquired during pre-surgery investigations. A 3-T Philips Achieva whole-body scanner was used to acquire structural data using a SENSE-Head-8 channel head coil. Volumes of interest (VOIs) of the patients’ lesions were drawn on their T1 MRI scans using MRIcron software (https://www.nitrc.org/projects/mricron). We then normalized the Region of Interests (ROIs) to the Montreal Neurological Institute (MNI) space using the “Clinical Toolbox” (https://www.nitrc.org/projects/clinicaltbx/) for SPM8 (https://www.fil.ion.ucl.ac.uk/spm/). The MRIcron procedure was used to overlap lesion masks (VOIs) (https://www.nitrc.org/projects/mricron). The output is a percentage overlay plot showing the percentage of overlapping lesions on a color scale.
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3

Volumetric Analysis of Lesion Imaging

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Data were obtained by retrospectively analyzing structural images routinely acquired pre-surgery. A 3-T Philips Achieva whole-body scanner was used to acquire structural data using a SENSE-Head-8 channel head coil. Volumes of interest of the patients’ lesions were drawn on their T1 MRI scans using MRIcron software (https://www.nitrc.org/projects/mricron). The volumes of interest were normalized to the Montreal Neurological Institute space using the “Clinical Toolbox” (https://www.nitrc.org/projects/clinicaltbx/) for SPM8 (https://www.fil.ion.ucl.ac.uk/spm/).
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4

Structural and Diffusion MRI Acquisition

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A 3-T Philips Achieva whole-body scanner was used to acquire structural data using a SENSE-Head-8 channel head coil and a custom-built head restrainer to minimize head movements.
For both patients and healthy controls, diffusion tensor imaging (DTI) data were acquired using an axial diffusion-weighted, single-shot, echo-planar imaging sequence covering the whole brain (repetition time = 8,880 ms; echo time = 70 ms, bandwidth = 3,135 Hz/pixel; flip angle = 90°; matrix size = 128 × 128 voxels; field of view = 240 × 240 mm; slice thickness = 2.1 mm; contiguous axial slices = 57). Two b-values were used: 0 s/mm2 (seven no diffusion-weighted images) and 1,000 s/mm2 (64 non-coplanar, diffusion-weighted images). The 64 gradient directions were uniformly distributed on a sphere.
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5

Self-Paced Hand Movement Task in fMRI

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Participants were asked to perform the motor task while lying in the scanner with arms relaxed along the body. They were instructed to open and close either hand according to the visual cue (i.e., arrow) appearing on the screen together with the instruction “Move”. The movement was performed at a self-paced rate—in order to reduce task demands and effort—and until the instruction changed to “Still”. Each block lasted 15 s for a total of eight task blocks (i.e., four for the right hand and four for the left hand) interleaved with nine rest blocks.
Images were acquired on a Philips Achieva 3-T (Best, Netherlands) whole-body scanner using a SENSE-Head-8 channel head coil and a custom-built head restrainer to minimize head movements. Functional images were obtained using a single-shot gradient echo, echoplanar imaging (EPI) sequence. EPI volumes (N = 102) contained 34 contiguous axial slices (repetition time, TR = 2500 msec, echo-time, TE = 35 msec, field-of-view, FOV = 230 × 230 mm2, matrix: 128 × 128, voxel size: 1.797 × 1.797 × 3 mm3, 90° flip angle).
Stimulus sequence was designed and synchronized with the MR scanner by the Presentation software (Version 9.9, Neurobehavioral Systems Inc., Berkeley, CA, USA) and were displayed by the VisuaStim Goggles system (Resonance Technology Inc., Northridge, CA, USA).
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6

High-Resolution Structural MRI Acquisition

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We used structural imaging data routinely acquired during pre‐surgery investigations. A 3‐T Philips Achieva whole‐body scanner was used to acquire structural data using a SENSE‐Head‐8 channel head coil and a custom‐built head restrainer to minimize head movements. High‐resolution T2‐weighted and post‐gadolinium contrast T1‐weighted anatomical MR images were acquired by using a T1‐weighted 3D magnetization‐prepared rapid acquisition gradient fast field echo (T1W_3D_TFE SENSE) pulse sequence (TR = 8.2 s, TE = 3.7 s, FOV = 24 cm, 190 sagittal slices of 1 mm thickness, flip angle = 8°, voxel size: 1 × 1 × 1 mm) and a T2‐weighted 3D magnetization‐prepared rapid acquisition gradient fast field echo (T2W_3D_TFE SENSE) pulse sequence (TR = 2,500 ms, TE = 35 ms, FOV = 24 cm, 190 sagittal slices of 1 mm thickness, flip angle = 90°, voxel size: 1 × 1 × 1 mm).
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