32 channel head coil

Manufactured by Philips

Sourced in Netherlands, United States, Germany, India, Australia

The 32-channel head coil is a piece of laboratory equipment designed for magnetic resonance imaging (MRI) applications. It is used to transmit and receive radio frequency (RF) signals, which are essential for the image acquisition process in MRI scanners. The coil features 32 individual channels, allowing for improved signal-to-noise ratio and accelerated image acquisition times compared to traditional coil designs. This product is intended for use in research and clinical settings, where high-quality MRI data is required for various applications.

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Lab products found in correlation

Achieva scanner, by Philips (64 mentions) Achieva, by Philips (21 mentions) Achieva mri scanner, by Philips (21 mentions) Achieva 3t mri scanner, by Philips (16 mentions) Achieva 3t scanner, by Philips (16 mentions) 3t mri scanner, by Philips (9 mentions) Achieva whole body scanner, by Philips (9 mentions) Achieva 3t mr scanner, by Philips (9 mentions) Achieva system, by Philips (9 mentions) Ingenia 3t scanner, by Philips (8 mentions) Ingenia cx scanner, by Philips (7 mentions) Ingenia, by Philips (7 mentions) Achieva tx, by Philips (7 mentions) Achieva mr scanner, by Philips (6 mentions) Achieva dstream scanner, by Philips (6 mentions) 8 channel head coil, by Philips (6 mentions) Achieva 3t whole body scanner, by Philips (6 mentions) Achieva 3.0t mri system, by Philips (6 mentions) Intera achieva, by Philips (6 mentions) 3 tesla scanner, by Philips (6 mentions)

Close spelling variants of this product

32-channels SENSE head coil (4 citations) 32-channels head coil (4 citations)

447 protocols using 32 channel head coil

High-Resolution 3T and 7T MRI Acquisition

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For 4 observers, T1-weighted anatomical MRI data were acquired on a Philips Achieva 3T scanner at a resolution of 0.75 × 0.75 × 0.8 mm. For the remaining 2 observers, T1-weighted MRI data were acquired on a Philips 7T scanner using a 32-channel head coil at a resolution of 0.5 × 0.5 × 0.8 mm. For all observers, T2*-weighted images were acquired on a Philips 7T scanner using a 32-channel head coil at a resolution of 1.77 × 1.77 × 1.75 mm, with a field of view of 227 × 227 × 71.75 mm. We scanned 41 slices in interleaved order, meaning that first odd slices and then even slices were scanned. Scans covered the visual cortex and extended into the frontal cortex to include the FEF. Time repetition was 2.1 s, time echo was 25 ms, and the flip angle was 70°. Functional runs were 205 frames for the main experiment and 188 frames for the localizer experiment.

Brinkhuis M.A., Kristjánsson Á., Harvey B.M, & Brascamp J.W. (2019). Temporal Characteristics of Priming of Attention Shifts Are Mirrored by BOLD Response Patterns in the Frontoparietal Attention Network. Cerebral Cortex (New York, NY), 30(4), 2267-2280.

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Multimodal Neuroimaging at 7T and 3T

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MRI data were collected using a 7-Tesla Philips Achieva scanner with a 32-channel head coil at the Vanderbilt University Institute for Imaging Science. We collected fMRI data using single-shot T2*-weighted gradient echo echo-planar imaging with 2-mm isotropic voxel resolution (TR 2s; TE 25ms; flip angle 63°; SENSE acceleration factor 2.9, FOV 224 × 224 mm; 46 near-transverse slices with no gap; phase-encoding in AP direction). To mitigate image distortions caused by inhomogeneity, an image-based shimming technique was used. A T1-weighted 3D-MPRAGE anatomical scan was collected in the same session at 1-mm isotropic resolution. Separately, retinotopic data were acquired using a 3-Telsa Philips Intera Achieva MRI scanner equipped with a 32-channel head coil, with fMRI data acquired at 3-mm isotropic resolution (TR 2s; TE 35ms; flip angle 80°; FOV 240 × 240 mm; 36 slices).

Jang H., McCormack D, & Tong F. (2021). Noise-trained deep neural networks effectively predict human vision and its neural responses to challenging images. PLoS Biology, 19(12), e3001418.

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3T MRI Multimodal Neuroimaging Protocol

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The MRI scanning was performed on a 3T scanner (Achieva, Philips Healthcare, Best, the Netherlands) with 32-channel head coils for signal receptions. The MRI protocol included three-dimensional (3D), T1-weighted magnetization prepared rapid gradient echo (MPRAGE) (repetition time (TR) = 6.8 ms, echo time (TE) = 3.2 ms, inversion time (TI) = 900 ms, matrix = 256 × 256, field of view (FOV) = 240 × 256 × 204 mm³, slice thickness = 1.2 mm), 3D T2-weighted fluid-attenuated inversion recovery (FLAIR) (TR = 6.8 ms, TE = 3.2 ms, TI = 1650 ms, matrix = 256 × 207, FOV = 250 × 250 × 184 mm³, slice thickness = 1.2 mm), and DKI (TR = 3900 ms, TE = 810 ms, matrix = 80 × 80, FOV = 230 × 90 × 230 mm³, slice thickness = 3 mm). The DKI was collected using a single-shot, spin echo-echo planar imaging sequence, with two non-zero b values (b = 1000 and 2000 s/mm²) applied along fifteen gradient encoding directions separately in addition to the b = 0 s/mm² image for each subject.

Zhang H., Wang Z., Chan K.H., Shea Y.F., Lee C.Y., Chiu P.K., Cao P, & Mak H.K. (2023). The use of Diffusion Kurtosis Imaging for the Differential Diagnosis of Alzheimer’s Disease Spectrum. Brain Sciences, 13(4), 595.

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Structural MRI Acquisition Protocol

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Whole-brain images were acquired on a Philips Achieva 3.0-T MRI scanner equipped with 32-channel head coils. High-resolution T1-weighted images were collected for anatomical reference using a 3D magnetization-prepared rapid acquisition gradient echo (MPRAGE) sequence: echo time (TE) = 3.3 ms, repetition time (TR) = 15 ms, flip angle = 10°, matrix size = 180 × 256 × 256, and voxel size = 1 × 1 × 1 mm³. The total image acquisition time was 3 min 31 s.

Tanaka S, & Kirino E. (2017). Dynamic Reconfiguration of the Supplementary Motor Area Network during Imagined Music Performance. Frontiers in Human Neuroscience, 11, 606.

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Comprehensive Structural MRI Metrics

Cited 1 time

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T1- and T2-weighted structural scans (1mm isotropic) were acquired using 3T scanners (either Siemens, General Electric, or Phillips) with 32-channel head coils (Supplement). The following structural MRI metrics were examined: global: intracranial, total cortical, and total subcortical volume; total surface area; total cortical thickness; regional: 34 Desikan cortical regions for surface area, thickness, and volume, as well as 23 Freesurfer segmentation subcortical volume regions (33 (link)).

Karcher N.R., Paul S.E., Johnson E.C., Hatoum A.S., Baranger D.A., Agrawal A., Thompson W.K., Barch D.M, & Bogdan R. (2021). Psychotic-like experiences and polygenic liability in the ABCD Study®. Biological psychiatry. Cognitive neuroscience and neuroimaging, 7(1), 45-55.

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T1-Weighted Brain Imaging Protocol

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Structural brain imaging data were acquired in all patients and 22 of the control participants. Structural scans were acquired on two 3 T Philips Achieva scanners with 32-channel head coils and a SENSE factor of 2.5 in London and Manchester. A high-resolution T₁-weighted structural scan was acquired including 260 slices covering the whole brain with repetition time = 8.4 ms, Echo time = 3.9 ms, flip angle = 8°, field of view = 240 × 191 mm², resolution matrix = 256 × 206 and voxel size = 0.9 × 1.7 × 0.9 mm³.

Robotham R.J., Rice G.E., Leff A.P., Lambon Ralph M.A, & Starrfelt R. (2023). Systematic evaluation of high-level visual deficits and lesions in posterior cerebral artery stroke. Brain Communications, 5(2), fcad050.

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Resting-State and Working Memory fMRI Protocol

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One resting state fMRI scan (sequence=gradient-echo echo-planar imaging, TR/TE=2s/35ms, resolution=3×3×3 mm³, matrix=80×80×38, dynamic volumes per scan=300, eyes closed), six working-memory task fMRI scans (same parameters except dynamics per scan=152) and one T1-weighted scan (sequence=turbo field echo, TR/TE=8ms/3.7ms, resolution=1×1×1mm³, matrix=256×256×170) were acquired for each subject using one of two identical 3T MRI scanners (Philips Healthcare Inc., Best, Netherlands) with 32-channel head coils at Vanderbilt University Institute of Imaging Science.
Image preprocessing is described in detail in Supplementary material. Briefly, preprocessing of fMRI images included correcting slice timing and head motion, regressing out 24 motion parameters and mean cerebrospinal fluid (CSF) signal, temporal filtering (passband=0.01–0.1Hz), co-registering to the Montreal Neurological Institute (MNI) space, detrending, and voxel-wise normalization of the time-courses into zero mean and unit variance. In order to avoid signal contamination between WM and GM in preprocessing, we did not spatially smooth fMRI data. Preprocessing of T1-weighted images included segmenting WM, GM, and CSF and co-registering the resultant tissue probability maps to the MNI space.

Gao Y., Li M., Huang A.S., Anderson A.W., Ding Z., Heckers S.H., Woodward N.D, & Gore J.C. (2021). Lower functional connectivity of white matter during rest and working memory tasks is associated with cognitive impairments in schizophrenia. Schizophrenia research, 233, 101-110.

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Diffusion Imaging and Structural Neuroimaging

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Participants were scanned on 3-Tesla MRI scanners of the same brand and type (Achieva, Philips Medical Systems, Best, The Netherlands) with 32-channel head coils at 2 different sites of the Spinoza Centre for Neuroimaging, Amsterdam, The Netherlands. On the assessment days, participants were asked to refrain from alcohol and drugs. Participants were not allowed to consume caffeinated beverages for at least 6 h before the MRI scanning sessions. Scans were made between 9:00 and 20:00 h. Diffusion-weighted images were acquired from an isotropic single-shot echo-planar imaging (EPI) spin echo sequence with 32 non-collinear diffusion gradient directions (b = 1000 s/mm²) along with 1 non-diffusion-weighted volume (b = 0 s/mm²). The scanning parameters were: repetition time = 16 s, echo time = 48 ms, phase-encoding direction = AP, flip angle = 90°, field of view = 224 × 224 × 130 mm³ (AP × RL × FH), voxel size = 2 × 2 × 2 mm³, slice gap = 0 mm, SENSE factor = 3 (AP). Additionally, T1-weighted images were acquired from a 3D Turbo Field Echo sequence with the following scanning parameters: repetition time = 8.3 ms, echo time = 3.8 ms, phase-encoding direction = RL, flip angle = 8°, field of view = 240 × 188 × 220 mm³ (AP × RL × FH), voxel size = 1 × 1 × 1 mm³, SENSE factors = 2.5 (RL), 2 (FH).

Wei Y., Bresser T., Wassing R., Stoffers D., Van Someren E.J, & Foster-Dingley J.C. (2019). Brain structural connectivity network alterations in insomnia disorder reveal a central role of the right angular gyrus. NeuroImage : Clinical, 24, 102019.

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Multimodal Neuroimaging Analysis Pipeline

Cited 1 time

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Data were acquired on a Philips Achieva 3T MRI scanner with a 32-channel head coil. All participants completed one high-resolution, 3D anatomical, T₁-weighted magnetization-prepared rapid gradient-echo (MPRAGE) sequence. The parameters were as follows: 176 sagittal slices (1 mm thickness), TR = 7.2 ms, TE = 3.2 ms, FA = 8°, FOV = 240 mm, and voxel size = 1 mm³. Total acquisition time was 4 min and 34 s.
All MRI data were processed individually through the automated subcortical segmentation and cortical parcellation tool in FreeSurfer, version 5.3 (Martinos Center for Biomedical Imaging, Charlestown, MA, USA) (Fischl et al. 2002 (link); Fischl 2012 (link)). To increase the probability that each discrete region is correctly labelled, FreeSurfer considers aspects of the collected data and general aspects of MRI such as signal intensity of different regions, producing accurate and reliably segmentation (Jovicich et al. 2009 (link)). The software produces indices of area, thickness, and volume for cortical structures, and volume for subcortical structures, resulting in 274 unique neuroanatomical features. White matter, gray matter, and pial matter boundaries were reviewed in each subject for gross artifacts and errors in segmentation by the authors (LS and JB).

Sevel L.S., Boissoneault J., Letzen J.E., Robinson M.E, & Staud R. (2018). Structural brain changes versus self-report: machine-learning classification of chronic fatigue syndrome patients. Experimental brain research, 236(8), 2245-2253.

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3T MRI Brain Imaging Protocol

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Brain images of the patients and HC were obtained using 3 Tesla MRI scanner (Ingenia CX, Philips, Erlangen, Germany) equipped with a 32-channel head coil at the National Center for Mental Health. High-resolution anatomical T1-weighted (T1W) images were acquired with a turbo field echo sequence (spin-echo TR=9.8 ms, TE=4.6 ms, matrix size: 240×240, 170 sagittal slices, FOV=240 mm, slice thickness=1 mm, and flip angle=8°).

Song H., Chon M.W., Ryu V., Yu R., Lee D.K., Lee H., Lee W., Lee J.H, & Park D.Y. (2020). Cortical Volumetric Correlates of Childhood Trauma, Anxiety, and Impulsivity in Bipolar Disorder. Psychiatry Investigation, 17(7), 627-635.

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