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Intera scanner

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The Intera scanner is a magnetic resonance imaging (MRI) device manufactured by Philips. It is designed to capture detailed images of the body's internal structures, enabling medical professionals to diagnose and monitor various health conditions. The Intera scanner utilizes powerful magnetic fields and radio waves to generate high-quality, cross-sectional images without the use of ionizing radiation.

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Lab products found in correlation

Eight channel head coil, by Philips (3 mentions) Matlab, by MathWorks (2 mentions) Mri scanner, by Philips (2 mentions) Achieva scanner, by Philips (2 mentions) 3t prisma, by Siemens (2 mentions) 12 channel head coil, by Philips (2 mentions) E prime software, by Psychology Software Tools (2 mentions) 8 channel sense head coil, by Philips (2 mentions) 8 channel head coil, by Philips (1 mentions) Spm12 toolbox, by MathWorks (1 mentions) Signa hdx, by GE Healthcare (1 mentions) Signa excite, by GE Healthcare (1 mentions) 32 channel head coil, by Philips (1 mentions) Signa scanner, by GE Healthcare (1 mentions) Achieva 3t scanner, by Philips (1 mentions) Trio scanner, by Siemens (1 mentions)

65 protocols using intera scanner

1

Multi-modal MRI Acquisition for Brain Imaging

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Structural MRI, diffusion MRI (dMRI) and fluid attenuated inversion recovery (FLAIR) data were acquired using an 8-channel head coil on a 3T Philips Intera scanner (Best, The Netherlands). High-resolution 3D turbo field echo (3DTFE) T1-weighted images were acquired with parameters: TR=9.6s, TE=4.6s, flip angle=8°, Slice thickness=1.2mm, in-plane voxel-size=0.98 x 0.98 x 1.2mm 3 , 182 axial slices. Diffusion MRI data were acquired using an echo planar imaging sequence with diffusion-weighting, b=800s/mm 2 , applied along 45 uniformly distributed gradient directions and included six non-diffusion weighted images.
Constant scan parameters were TR/TE = 11000ms/55ms, 68 slices, voxel size 1.98 x 1.98 x 2.2mm 3 . The 2D-FLAIR data were acquired for routine clinical assessment with the following main consistent parameters: TR: 11000ms, voxel size = 0.45mm x 0.45mm x 5mm.
Due to decommissioning of the 3T Intera scanner, 19 controls were scanned with identical sequence parameters on a 3T Philips Achieva scanner using a 32-channel head coil. Due to the particular sensitivity of dMRI data to differences in scanner hardware, we excluded these 19 controls from the dMRI analysis.
Emsell L., Adamson C., De Winter F.L., Billiet T., Christiaens D., Bouckaert F., Adamczuk K., Vandenberghe R., Seal M.L., Sienaert P., Sunaert S, & Vandenbulcke M. (2017). Corpus callosum macro and microstructure in late-life depression. Journal of affective disorders, 222.
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2

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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3

Multimodal Neuroimaging of rTMS Intervention

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Each patient underwent a structural and functional MRI session before (T0) and after (T1) the rTMS intervention. Images were acquired with a Philips INTERA scanner. The whole-brain anatomical image (T1weighted Fast Field Echo sequence; resolution: 1 mm 3 ) was obtained along AC-PC line (Repetition Time (TR) = 25 ms; Echo Time (TE) = 4.5; number of slices = 150; thickness gap = 1 mm; flip angle (FA) = 30). Functional images were acquired using a resting state fMRI (rs-fMRI) protocol (TR = 2500 ms; TE = 40.0; number of slices = 23; thickness gap = 6.0; FA = 90). MRIs were preprocessed using SPM12 toolbox (Statistical-Parametric-Mapping; http://www.fil.ion.ucl.ac.uk/spm/) of MATLAB (MathWorks, MA, USA): the first three fMRI volumes were excluded to allow steady-state-magnetization (Miller et al., 2011) . The EPI images were slice-timed following the interleaved descending acquisition order. Physiological head motion was removed through realigning and reslicing correction using an overall mean image from fMRI scan. Then, fMRI data were co-registered with the structural image, segmented and normalized to the Montreal Neurological Institute (MNI) template brain. The image was smoothed using an isotropic Gaussian kernel (full-width at half-maximum (FWHM) of 8 mm).
Mantovani A., Neri F., D'Urso G., Mencarelli L., Tatti E., Momi D., Menardi A., Sprugnoli G., Santarnecchi E, & Rossi S. (2021). Functional connectivity changes and symptoms improvement after personalized, double-daily dosing, repetitive transcranial magnetic stimulation in obsessive-compulsive disorder: A pilot study. Journal of psychiatric research, 136.
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4

Quantifying White Matter Hyperintensities

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Magnetic resonance images were obtained on a 1.5T Philips Intera scanner at Columbia University Medical Center between 2005 and 2007. T1-weighted (repetition time = 20 ms, echo time = 2.1 ms, field of view 240 cm, 256 × 160 matrix, 1.3 mm slice thickness) and T2-weighted fluid attenuated inversion recovery (FLAIR; repetition time = 11,000 ms, echo time = 144.0 ms, inversion time = 2800 ms, field of view 25 cm, 2 nex, 256 × 192 matrix with 3 mm slice thickness) images were acquired in the axial orientation. WMH volumes were derived using previously-described procedures (Brickman, Muraskin, & Zimmerman, 2009; Brickman, et al., 2011 (link); Brickman et al., 2012). Whole-brain WMH volumes were quantified from T2-weighted FLAIR images. In brief, images were skull stripped, and a Gaussian curve was fit to map voxel intensity values. Voxels above a standardized study-specific threshold of the image mean were labeled as WMH. Labeled images were also visually inspected and corrected if errors were detected. Total WMH volume was log-transformed prior to analysis.
Zahodne L.B., Mayeda E.R., Hohman T.J., Fletcher E., Racine A.M., Gavett B., Manly J.J., Schupf N., Mayeux R., Brickman A.M, & Mungas D. (2019). The Role of Education in a Vascular Pathway to Episodic Memory: Brain Maintenance or Cognitive Reserve?. Neurobiology of aging, 84, 109-118.
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5

Structural MRI Acquisition Protocol

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MRI acquisition and pre-processing steps are reported following the practical guide from the Organization for Human Brain Mapping (Nichols et al., 2017 (link); Poldrack et al., 2017 (link)). The patient and the controls were scanned in a 1.5-T Philips Intera scanner with a standard head coil (eight channels). We used a T1-weighted anatomical 3D spin echo sequence that covered the whole brain. Structural T1 scans were acquired parallel to the plane connecting the anterior and posterior commissures with the following parameters: matrix size = 256 × 224 × 256 (for Eval-1) and 175 × 256 × 256 (for Eval-2), 1 mm isotropic, repetition time (TR) = 7489 ms, echo time (TE) = 3420 ms, flip angle = 8°, and sequence duration = 7 min.
Steeb B., García-Cordero I., Huizing M.C., Collazo L., Borovinsky G., Ferrari J., Cuitiño M.M., Ibáñez A., Sedeño L, & García A.M. (2018). Progressive Compromise of Nouns and Action Verbs in Posterior Cortical Atrophy. Frontiers in Psychology, 9, 1345.
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6

Brain Activation During Stepwise Tracking Task

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Data was acquired on a Philips 1.5 Tesla Intera scanner and preprocessed as described elsewhere (36 (link)) and in the supplement. Briefly, images were slice-timing corrected, motion realigned, normalized to a standard template, and smoothed. Time series values were transformed to percent signal change on a per-voxel basis. First-level modeling followed prior work (see supplement and 36 (link)). Regressors of interest were those reflecting correct trials in the control task or each of the first seven steps of the SOT, modeled separately. Step eight was excluded due to poor performance by patients. Incorrect trials were modeled separately and are not reported.
Two primary outcome measures were calculated for each subject. First, the fit to an empirical inverted-U shape (obtained from an independent healthy sample; study 1 in 36) was calculated at each voxel for each participant. This fit was obtained by regressing observed task activation at each step on the inverted-U shape, such that larger positive values indicate better fit. Second, a task - control contrast was calculated as the average activation across the first seven steps of the SOT minus activation to the control task. Although we did not hypothesize a between-group difference in this contrast, it is a commonly used and straightforward measure of regional brain activation to the SOT relative to the control task.
Van Snellenberg J.X., Girgis R.R., Horga G., van de Giessen E., Slifstein M., Ojeil N., Weinstein J.J., Moore H., Lieberman J.A., Shohamy D., Smith E.E, & Abi-Dargham A. (2016). Mechanisms of Working Memory Impairment in Schizophrenia. Biological psychiatry, 80(8), 617-626.
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7

Brain Activation During Stepwise Tracking Task

Cited 1 time
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Data was acquired on a Philips 1.5 Tesla Intera scanner and preprocessed as described elsewhere (36 (link)) and in the supplement. Briefly, images were slice-timing corrected, motion realigned, normalized to a standard template, and smoothed. Time series values were transformed to percent signal change on a per-voxel basis. First-level modeling followed prior work (see supplement and 36 (link)). Regressors of interest were those reflecting correct trials in the control task or each of the first seven steps of the SOT, modeled separately. Step eight was excluded due to poor performance by patients. Incorrect trials were modeled separately and are not reported.
Two primary outcome measures were calculated for each subject. First, the fit to an empirical inverted-U shape (obtained from an independent healthy sample; study 1 in 36) was calculated at each voxel for each participant. This fit was obtained by regressing observed task activation at each step on the inverted-U shape, such that larger positive values indicate better fit. Second, a task - control contrast was calculated as the average activation across the first seven steps of the SOT minus activation to the control task. Although we did not hypothesize a between-group difference in this contrast, it is a commonly used and straightforward measure of regional brain activation to the SOT relative to the control task.
Van Snellenberg J.X., Girgis R.R., Horga G., van de Giessen E., Slifstein M., Ojeil N., Weinstein J.J., Moore H., Lieberman J.A., Shohamy D., Smith E.E, & Abi-Dargham A. (2016). Mechanisms of Working Memory Impairment in Schizophrenia. Biological psychiatry, 80(8), 617-626.
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8

Structural MRI Acquisition Protocols Across Countries

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We followed the guidelines from the Organization for Human Brain Mapping (Nichols et al., 2017 (link)) to report the acquisition and preprocessing steps. Structural images were obtained from Country-1 participants through whole-brain T1-weighted spin echo sequences in a 1.5T Phillips Intera scanner, and were acquired parallel to the plane connecting the anterior and posterior commissures with the following parameters: matrix size = 256 × 240, 120 slices, approx. 1×1×1 mm (1×0.97 × 0.97 mm); repetition time (TR) = 7489 ms; echo time (TE) = 3420 ms; flip angle = 8°, acquisition time = 7 min. Country-2 participants were scanned in a 3T Philips Achieva scanner. Whole-brain structural T1-rapid gradient-echo (MP RAGE) anatomical 3D scans were acquired with the following parameters: matrix size = 256×256, 160 slices, 1×1×1 mm isotropic; TR = 8521 ms; TE = 4130 ms; flip angle = 9° ms, acquisition time = 8 min. In Country-3, whole-brain structural T1-weighted spin echo sequences were acquired through a 3T Philips MRI scanner with a standard head coil (matrix size = 256×200, 256 slices, 1×1×1 mm isotropic; TR = 5903 ms: TE = 2660 ms; flip angle = 8°; acquisition time = 7.42 min).
Bachli M.B., Sedeño L., Ochab J.K., Piguet O., Kumfor F., Reyes P., Torralva T., Roca M., Cardona J.F., Campo C.G., Herrera E., Slachevsky A., Matallana D., Manes F., García A.M., Ibáñez A, & Chialvo D.R. (2019). Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: A machine learning approach. NeuroImage, 208, 116456.
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9

T1-Weighted Brain Imaging Protocol

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Participants were scanned in a 1.5 T Phillips Intera scanner equipped with a standard head coil.
A T1-weighted spin echo sequence was used to generate 120 contiguous axial slices (TR=2300 ms; TE=13 ms; flip angle=68°; FOV= 256x256 mm; matrix size=256x240; in-plane resolution= 1x1 mm; slice thickness = 1 mm).
Baez S., Morales J.P., Slachevsky A., Torralva T., Matus C., Manes F, & Ibanez A. (2016). Orbitofrontal and limbic signatures of empathic concern and intentional harm in the behavioral variant frontotemporal dementia. Cortex; a journal devoted to the study of the nervous system and behavior, 75.
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10

Resting-State fMRI Acquisition Protocol

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Images were gathered on a 1.5 T INTERA™scanner (PhilipsMedical Systems) with a SENSE high-field, high resolution (MRIDC) head coil optimized for functional imaging. Two resting state functional T2* weighted runs were acquired using echoplanar (EPI) sequences, with a repetition time (TR) of 2000ms, an echo time (TE) of 50 ms, and a 90° flip angle. The acquisition matrix was 64 × 64, with a 200 mm field of view (FoV). A total of 850 volumes were acquired for the first run and a total of 450 volumes were acquired for the second, each volume consisting of 19 axial slices, parallel to the anterior posterior (AC–PC) commissure; slice thickness was 4.5 mm with a 0.5 mm gap. To reach a steady-state magnetisation before acquiring the experimental data, two scans were added at the beginning of functional scanning: the data from these scans were discarded. Within a single session for each participant, a set of three dimensional high-resolution T1-weighted structural images was acquired, using a Fast Field Echo (FFE) sequence, with a 25 ms TR, an ultrashort TE, and a 30° flip angle. The acquisition matrix was 256 × 256, and the FoV was 256 mm. The set consisted of 160 contiguous sagittal images covering thewhole brain. In-plane resolution was 1 mm × 1 mm and slice thickness 1 mm (1 × 1 × 1 mm3 voxels).
Costa T., Boccignone G., Cauda F, & Ferraro M. (2016). The Foraging Brain: Evidence of Lévy Dynamics in Brain Networks. PLoS ONE, 11(9), e0161702.
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