8 channel head coil

Manufactured by Philips

Sourced in Netherlands, United States

The 8-channel head coil is a specialized piece of medical imaging equipment designed for use with Philips MRI systems. It features eight individual radio frequency (RF) receiver channels that enable the acquisition of high-quality images of the human head. The core function of this coil is to detect and amplify the magnetic resonance signals emitted by the subject's head during an MRI scan, providing the necessary data for the system to generate detailed and accurate images for diagnostic or research purposes.

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Lab products found in correlation

189 protocols using 8 channel head coil

Resting-state fMRI protocol with high-resolution structural imaging

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All MRI data were collected using a 3-T Philips Intera Achieva scanner equipped with an 8-channel head coil. The fMRI blood oxygenation level-dependent (BOLD) signal during resting-state was measured with an echo planar imaging sequence (64 × 64 matrix, TR = 2000 ms, TE = 30 ms, flip angle = 70°, FOV = 240 mm, slice thickness = 3.75 mm and 34 transaxial gradient-echo images per volume). A total of 160 functional volumes were acquired while each subject was resting. Based on previously published resting-state fMRI procedures (Greicius et al., 2003 (link); Damoiseaux et al., 2006 (link)), the subjects were instructed to keep still with their eyes closed, not to sleep, not to think about anything in particular and remain as motionless as possible.
Using a magnetization-prepared rapid gradient echo sequence, we acquired high-resolution T1-weighted structural images (240 × 240 matrix, TR = 6.5 ms, TE = 3 ms, FOV = 240 mm, slice thickness = 1.0 mm and slices = 162).
In the fMRI measurement, scanner noise was reduced with ear plugs, and pads and Velcro tape were used to limit the subjects’ motion during scanning. The subjects were informed that movement during scanning is unfavorable, and they were instructed to minimize any motions during scanning. If excessive motion was observed, the scan was restarted from the beginning.

Ikeda S., Takeuchi H., Taki Y., Nouchi R., Yokoyama R., Kotozaki Y., Nakagawa S., Sekiguchi A., Iizuka K., Yamamoto Y., Hanawa S., Araki T., Miyauchi C.M., Sakaki K., Nozawa T., Yokota S., Magistro D, & Kawashima R. (2017). A Comprehensive Analysis of the Correlations between Resting-State Oscillations in Multiple-Frequency Bands and Big Five Traits. Frontiers in Human Neuroscience, 11, 321.

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Resting-state fMRI Acquisition and Processing

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Whole-brain images were acquired on a Phillips 3T scanner equipped with an 8-channel head-coil. Resting-state fMRI data were obtained using a single-shot echo-planar imaging (EPI) gradient echo sequence, repetition time (TR) = 2000 ms, echo time (TE) = 30ms, flip angle = 90, field of view (FOV) = 240 mm, voxel size = 3x3mm with 33 slices of 3.5 mm. A total of 150 volumes were acquired during a 5-min scan. Participants were instructed to keep their eyes closed without falling asleep or thinking of anything in particular during scanning. A sagittal T1-weighted gradient-echo sequence (MPRAGE: 172 contiguous slice, 1 mm³ voxel, TR = 7.5 ms, TE = 3.5ms, FOV = 210 mm) was acquired for brain segmentation and functional image registration. Head movements during scanning were minimized by cushioning the participant’s head in the coil; all subjects were monitored for any movements while in the scanner.

Battistella G., Fuertinger S., Fleysher L., Ozelius L.J, & Simonyan K. (2016). Cortical sensorimotor alterations classify clinical phenotype and putative genotype of spasmodic dysphonia. European journal of neurology, 23(10), 1517-1527.

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Neuroimaging Protocol for Brain Connectivity

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Scans were conducted using a Philips Achieva 3-T magnetic resonance scanner at Trinity MRI, with a Philips 8 Channel head coil. The scanning session included a T1-weighted anatomical scan (TE, 2.7 ms; TR, 5.8 ms; flip angle, 8; voxel size, 1 mm³) followed by a blood oxygenation level-dependent fMRI (BOLD-fMRI) scan (single-shot spin-echo echo-planar imaging, parallel imaging [36 slices]). BOLD-fMRI scans were measured with transverse orientation; AP fold-over direction; TE, 2000 ms; TR, 30 s; flip angle, 90°; isotropic 3.5 mm × 3.5 mm × 3.5 mm resolution; FOV, 240 mm × 240 mm × 144 mm; acquisition matrix M × P, 64 × 64; REC voxel MPS, 1.67 mm × 1.67 mm × 4.0 mm; and time points = 189.

Dai P., Zhang J., Wu J., Chen Z., Zou B., Wu Y., Wei X, & Xiao M. (2019). Altered Spontaneous Brain Activity of Children with Unilateral Amblyopia: A Resting State fMRI Study. Neural Plasticity, 2019, 3681430.

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Resting-State fMRI Preprocessing Pipeline

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At baseline, MRI scans were collected with an 8-channel head coil on a 3T Philips scanner. A T1-weighted sequence was used to acquire anatomical images (in-plane resolution = 1 mm², 160 1-mm thick sagittal slices, TR/TE = 8.3/3.8 ms). A T2*-weighted echoplanar imaging (EPI) sequence was used to acquire a four-minute resting-state scan (in-plane resolution = 3.44 mm², 36 4-mm thick ascending axial slices, TR/TE = 2000/30 ms).
Standard preprocessing of MRI data was carried out with Configurable Pipeline for the Analysis of Connectomes (CPAC [26 ]). First, EPI data was slice-time and motion corrected and co-registered to the T1-weighted structural image. Then, signals from motion (Friston 24-parameter model [27 (link)]), the top five principal components from white matter and CSF voxels [28 (link)], and linear and quadratic trends were regressed out. Lastly, EPI data was bandpass filtered (0.009–0.08 Hz), scaled to a global 4D mean of 10000, and warped to MNI space.

Gallen C.L., Baniqued P.L., Chapman S.B., Aslan S., Keebler M., Didehbani N, & D’Esposito M. (2016). Modular Brain Network Organization Predicts Response to Cognitive Training in Older Adults. PLoS ONE, 11(12), e0169015.

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Multimodal Brain Imaging Protocol

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Images were acquired on a 1.5 T Philips Intera scanner with an 8-channel head coil. Each session consisted of structural, diffusion, and resting-state functional MRI. Acquisition of T1-weighted sagittal localizing images was followed by a 3D spoiled gradient recall (SPGR) image (TR =25 sec, TE =3.7 ms, flip angle =30°, FOV =256 mm, 256 × 204 matrix, 128 slices, voxel size 1 × 1 × 1 mm). Two runs of dMRI were collected (TR =10,586 ms, TE =70 ms, 70 slices, voxel size =2 × 2 × 2 mm, skip =0). The diffusion series included two initial images acquired without diffusion weighting and with diffusion weighting along 16 non-collinear directions (b =800 sm⁻²). For resting fMRI image acquisition, participants were instructed to stay still with their eyes open, and to let their minds wander freely. Two 5-minute resting fMRI sessions were obtained (TR =2,000 ms, TE =40 ms, flip angle =77°, 33 Slices, voxel size =3 × 3 × 3 mm, 150 volumes). Some individuals did not complete rs-fMRI because of time constraints.

Cha J., Ide J.S., Bowman F.D., Simpson H.B., Posner J, & Steinglass J.E. (2016). Abnormal reward circuitry in anorexia nervosa: A longitudinal, multimodal MRI study. Human Brain Mapping, 37(11), 3835-3846.

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3T MRI Structural Brain Imaging

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MR scans were acquired on a 3T Philips Achieva scanner (Philips Healthcare, Best, The Netherlands) equipped with an 8-channel head coil. MR-compatible headphones were used to minimize head motion. A T1-weighted 3D-MPRAGE anatomical scan was recorded with the following parameters: time of repetition/time of echo: 8.3/3.8ms, flip angle: 8°, voxel resolution: 0.94×0.94×1mm, field of view: 240mm, and 160 slices.

Michels L., Scherpiet S., Stämpfli P., Herwig U, & Brühl A.B. (2016). Baseline Perfusion Alterations Due to Acute Application of Quetiapine and Pramipexole in Healthy Adults. International Journal of Neuropsychopharmacology, 19(11), pyw067.

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Dementia Brain MRI Atrophy Patterns

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Brain MRI scans were acquired using a 3-Tesla Philips Achieva scanner (Philips Medical Systems, Best, NL) with an 8-channel head coil in a subgroup of 60 patients. Scanning session included T1-weighted volumetric MR scan (220 slices, TR/TE=600/20 ms, voxel size 0.9x0.9x0.8 mm 3 ).
Each scan was evaluated and independently classified by two expert raters. Brain atrophy were considered according to the validated MRI patterns of the three main neurodegenerative dementia conditions (i.e., AD, DLB, and FTLD) [6] [7] [8] 10, 51] . Each scan received a label indicating whether it did not satisfy criteria for brain atrophy (i.e., Negative scan) or it was compatible with AD (AD-like pattern scan) or non-AD (non AD-like pattern scan) dementia condition.

Perani D., Cerami C., Caminiti S.P., Santangelo R., Coppi E., Ferrari L., Pinto P., Passerini G., Falini A., Iannaccone S., Cappa S.F., Comi G., Gianolli L, & Magnani G. (2016). Cross-validation of biomarkers for the early differential diagnosis and prognosis of dementia in a clinical setting. European journal of nuclear medicine and molecular imaging, 43(3).

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Diffusion MRI Protocol for NeuRA

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dMRI data were acquired with a 3-T Philips Achieva scanner at Neuroscience Research Australia (NeuRA) in Sydney, Australia, with an 8-channel head coil. One acquisition of 62 directional dMRI data (b = 1000 s/mm² with one non-diffusion-weighted b0 scan) was acquired using a single-shot echo planar imaging (EPI) sequence. The imaging parameters were as follows: TR = 8,897 ms, TE = 68 ms, FOV = 240 × 138 × 240, acquisition matrix size = 96 × 96, flip angle = 90°, 55 slices, slice thickness = 2.5 mm (no gap) yielding 2.5 mm isotropic voxels.

Hyett M.P., Perry A., Breakspear M., Wen W, & Parker G.B. (2018). White matter alterations in the internal capsule and psychomotor impairment in melancholic depression. PLoS ONE, 13(4), e0195672.

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Gadolinium-Enhanced MRI Characterization of Vestibular Schwannomas

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3T Gd-TBMRI was performed (Achieva; Philips Healthcare, Best, the Netherlands) with an 8-channel head coil. Coronal T1- and T2-weighted turbo spin-echo, axial 3D T2-weighted, pre- and post-contrast 3D-fluid-attenuated inversion recovery, and post-contrast T1-weighted images were reconstructed. GdDOTA (Dotarem; Guerbet, Aulnay-sous-Bois, France) at 0.2 mmoL/kg of body weight was used for contrast enhancement of TBMRI. The presence of VS was confirmed with GD-TBMRI by experienced radiologists. Fig. 1 shows VSs confined to the IAC, located only in the CPA, and extending to the IAC and CPA, respectively. The tumor’s long-axis diameter was measured and recorded. Macrotumor was defined with tumors with long axis diameter more than 10 mm, and microtumor was defined as tumors less than 10 mm. Patients were then categorized into three groups according to the long-axis diameter, based on the classification system suggested by Selesnick, et al. [13 (link)].

Park M.J., Ahn J.H., Park H.J., Chung J.W, & Kang W.S. (2021). Diagnostic Validity of Auditory Brainstem Response for the Initial Screening of Vestibular Schwannoma. Journal of Audiology & Otology, 26(1), 36-42.

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Anatomical and Functional Brain Imaging

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Data acquisition was performed using a 3T Philips MR system (Philips Medical Systems, Best, The Netherlands) with a standard 8-channel head coil. A 3D T1-weighted anatomical scan was acquired with repetition time 9 ms, echo time 3.6 ms, flip angle 8°, field of view 232×256×170 mm, 170 slices without slice gap, voxel size 0.9×1×1 mm. Functional images were acquired with a gradient-echo T2* blood oxygen level dependent (BOLD) contrast technique using with a repetition time 2000 ms, echo time 28 ms, flip angle 70°, field of view 224×224×137 mm, 39 slices without slice gap, voxel size 3.5×3.6×3.5 mm. Two runs of 485 volumes each were obtained. MRI data acquisition took about 40 minutes.

van der Hoorn A., Renken R.J., Leenders K.L, & de Jong B.M. (2014). Parkinson-Related Changes of Activation in Visuomotor Brain Regions during Perceived Forward Self-Motion. PLoS ONE, 9(4), e95861.

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