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Signa mri scanner

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The Signa MRI scanner is a medical imaging device manufactured by GE Healthcare. It utilizes magnetic resonance imaging (MRI) technology to capture detailed images of the inside of the human body. The Signa MRI scanner generates a strong magnetic field and radio waves to produce high-quality images that can be used by medical professionals for diagnostic purposes.

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Lab products found in correlation

8 channel head coil, by GE Healthcare (5 mentions) Ear shields, by Natus (1 mentions) Advantage windows 4, by GE Healthcare (1 mentions) Trio scanner, by GE Healthcare (1 mentions) Avanto scanner, by Siemens (1 mentions) 8 channel phased array head coil, by GE Healthcare (1 mentions)

Close spelling variants of this product

SIGNA Architect 3.0 T MRI scanner GE-Signa MRI scanner Signa 1.5T echo speed superconducting MRI scanner Signa Pioneer MRI scanner 3T Signa HDx MRI scanner Signa VH/i 3.0 T MRI scanner Signa HDx 3.0 Tesla MRI scanner Signa Excite MRI scanner Signa HDX 3.0T MRI scanner GE Signa HDXT 3.0T MRI scanner

37 protocols using signa mri scanner

1

Functional Neuroimaging of the Brain

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Imaging data were acquired using a 3 Tesla GE Signa MRI scanner. Two functional runs were acquired for each participant (174 volumes per run). Functional images were recorded using a reverse spiral sequence (TR = 2000 ms, TE = 30 ms, flip angle = 90°, 43 axial slices, FOV = 220 mm, slice thickness = 3 mm; voxel size = 3.44 × 3.44 × 3.0 mm). We also acquired in-plane T1-weighted images (43 slices; slice thickness = 3 mm; voxel size = 0.86 × 0.86 × 3.0 mm) and high-resolution T1-weighted images (SPGR; 124 slices; slice thickness = 1.02 × 1.02 × 1.2 mm) for use in coregistration and normalization.
Cascio C.N., Lauharatanahirun N., Lawson G.M., Farah M.J, & Falk E.B. (2022). Parental education is associated with differential engagement of neural pathways during inhibitory control. Scientific Reports, 12, 260.
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2

Infant Brain MRI Scanning Protocol

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Infants were scanned within the first weeks of postmenstrual life (ie, the time elapsed between the first day of the pregnant women’s last menstrual period and the time of the MRI scan of their infant). Infants were fed, swaddled, and acclimated to the scanning environment and scanner noise by listening to a tape recording of the scanner sounds played before each pulse sequence. They were given time to fall asleep, without the use of sedatives, while lying on the scanner bed before the start of each sequence. Foam and wax ear plugs, along with ear shields (Natus Medical), were applied to dampen scanner noise. MRI-compatible electrocardiographic leads were placed on the infant’s chest, and a pulse oximetry sensor was placed on the infant’s toe. Heart rate and oxygen saturation were continually monitored during the scan (In Vivo Research). Images were obtained using a 3 Tesla Signa MRI scanner (General Electric) and an 8-channel head coil. Near the middle of the study’s data collection, the MRI scanner was upgraded. Details on pulse sequences can be found in the eAppendix in the Supplement.
Spann M.N., Scheinost D., Feng T., Barbato K., Lee S., Monk C, & Peterson B.S. (2020). Association of Maternal Prepregnancy Body Mass Index With Fetal Growth and Neonatal Thalamic Brain Connectivity Among Adolescent and Young Women. JAMA Network Open, 3(11), e2024661.
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3

Neuroimaging Protocol for Self-Localizer and Banner Ads Tasks

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Neuroimaging data were acquired using a 3-Tesla GE Signa MRI scanner. Two functional runs for the self-localizer task (288 volumes total) were collected at the start of the scan, and one functional run of the banner ads task (304 volumes total) was acquired at the end of the scan for each participant, separated by other tasks that were not the focus of the current investigation. Functional images were recorded using a reverse spiral sequence (repetition time (TR) = 2,000 ms, echo time (TE) = 30 ms, flip angle = 90°, 43 axial slices, field of view (FOV) = 220 mm, slice thickness = 3 mm); sequential descending slice acquisition; voxel size = 3.44 × 3.44 × 3.0 mm). We also acquired in-plane T1-weighted images (43 slices; slice thickness = 3 mm; voxel size = 0.86 × 0.86 × 3.0 mm) and high-resolution T1-weighted images (SPGR; 124 slices; slice thickness = 1.02 × 1.02 × 1.2 mm) for use in coregistration and normalization.
Cooper N., Tompson S., O’Donnell M.B, & Falk E.B. (2015). Brain Activity in Self- and Value-Related Regions in Response to Online Antismoking Messages Predicts Behavior Change. Journal of media psychology, 27, 93-109.
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4

Resting-state fMRI in Overt Hepatic Encephalopathy

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Functional imaging data were acquired using a 3.0 T GE Signa MRI scanner (Milwaukee, WI, USA). Resting-state images taken from 300 contiguous echo planar imaging whole brain functional scans (TR = 2 s, TE = 30 ms, FOV = 240 mm, flip angle 80°, matrix size 64 x 64, thickness 4 mm) were collected.
During the resting experiment, the normal controls were instructed to relax with their eyes closed, but without falling asleep. After the examination, they were asked questions to verify the degree of their cooperation as previously reported by Lv et al [11 (link)]. We also asked the patients with OHE to follow these instructions during scanning. Head movements were minimized using customized cushions. Monitoring of vital parameters including electrocardiography, blood pressure, pulse oxymetry and respiratory rate in the OHE patients was performed by a radiologist throughout the experiment. A 3D high-resolution T1-weighted anatomic image was also acquired using an inversion recovery fast spoiled gradient-recalled echo pulse sequence (TR = 9.5 ms; TE = 3.9 ms; TI = 450 ms; flip angle 20°; field of view 256 mm; matrix size 512 x 512).
Lin W.C., Hsu T.W., Chen C.L., Lu C.H., Chen H.L, & Cheng Y.F. (2015). Resting State-fMRI with ReHo Analysis as a Non-Invasive Modality for the Prognosis of Cirrhotic Patients with Overt Hepatic Encephalopathy. PLoS ONE, 10(5), e0126834.
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5

Neuroimaging protocol for studying brain regions

Cited 3 times
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9 typical adults and 7 DPs were scanned on a 3-Tesla GE Signa MRI scanner at the Lucas Imaging Center, Stanford University. Another group of 9 typical adults and one DP were scanned on a 3-Tesla GE scanner at the CNI, Stanford University. Whole brain anatomicals were acquired using a head coil using a 3D Fast SPGR scan (166 sagittal slices, resolution: 0.938mm × 0.983mm × 1.5mm). Data were resampled to 1mm isotropic voxels and aligned to the AC-PC plane. Functional MRI was obtained with a 16 channel surface coil using a T2*-sensitive gradient echo spiral pulse sequence (Glover & Law, 2001) with a TR=2000 ms, TE=30ms, flip angle=76°, FOV=200mm, resolution: 3.125mm × 3.125mm × 3mm. We also collected inplane T1-weighted anatomicals at the same prescription as the functionals to align the data to the whole brain volume.
Localizer experiment: is identical to that used in our previous publication (Golarai et al., 2010 (link)). Data analysis and functional regions of interest were defined as in our prior studies (Weiner et al., 2014 (link); Weiner and Grill-Spector, 2010 (link)), see Supplemental Experimental Procedures for details.
Gomez J., Pestilli F., Witthoft N., Golarai G., Liberman A., Poltoratski S., Yoon J, & Grill-Spector K. (2015). Functionally defined white matter reveals segregated pathways in human ventral temporal cortex associated with category-specific processing. Neuron, 85(1), 216-227.
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6

Longitudinal Structural Brain Imaging

Cited 1 time
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MR images were obtained on a 1.5-T GE Signa MRI scanner (GE Healthcare, Waukesha, WI, USA). T1-weighted images were acquired using a three-dimensional (3D) spoiled gradient recall (SPGR) with imaging parameters: repetition time (TR)=24ms, echo time (TE)=5ms, flip angle=40°, thickness=1.5mm, slices=124, plane=coronal, field-of-view (FOV)=20cm, matrix=256×256. Processing of T1-weighted images was performed with the software Freesurfer (http://freesurfer.net) (version 5.3) using the recon-all pipeline38 –39 (link). Details regarding image processing can be found in a previous publication24 (link). In short, we performed automatic cortical surface parcellation and subcortical structures segmentation, with cortical volume changes calculated using Freesurfer’s processing stream for longitudinal images40 (link). Once both baseline and follow-up scans were longitudinally processed, the change in volume between time points normalized to the baseline evaluation ((TP2-TP1)/TP1) was calculated. Aside from calculations of prospective development, baseline volumes also underwent GT investigations in order to study possible associations to neurocognitive measures. Baseline volumes were obtained from the longitudinally processed data.
Garcia-Ramos C., Dabbs K., Lin J.J., Jones J.E., Stafstrom C.E., Hsu D.A., Meyerand M.E., Prabhakaran V, & Hermann B.P. (2019). Network Analysis of Prospective Brain Development in Youth with BECTS and Its Relationship to Cognition. Epilepsia, 60(9), 1838-1848.
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7

3T fMRI Acquisition and Structural Imaging

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Structural and functional images were acquired on a 3T GE Signa MRI scanner. For functional images we used a T2*-weighted gradient-echo pulse sequence. Across each run of the experimental task, the field of view (FOV) was 220×220mm with a 64×64×43 matrix and 3mm axial slice thickness (no slice gap) resulting in a voxel resolution of 3.44×3.44×3.00mm (for two subjects the matrix was 64×64×35 and the voxel size was 3.44×3.44×3.50mm). Repeat time to accomplish a full volume (TR) was 2000ms, echo time (TE) was 30ms, the flip angle was 90°, and all data were collected in an interleaved multi-slice mode. Prior to acquisition of the functional images, a structural scan was acquired using a T1-weighted spin-echo pulse sequence (TR=540ms, TE=2.32ms, flip angle=15°) with a FOV of 220×220mm and with a 256×256×124 matrix, resulting in an in-plane voxel resolution of 1.0156×1.0156×1.20mm (scan duration ~10minutes).
Ruitenberg M.F., Koppelmans V., Wu T., Averbeck B.B., Chou K.L, & Seidler R.D. (2022). Neural correlates of risky decision making in Parkinson’s disease patients with impulse control disorders. Experimental brain research, 240(9), 2241-2253.
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8

Multi-Modal MRI Acquisition Protocol

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All MRI studies were acquired in 3T GE Signa MRI scanner on the same day (±24 h) as the clinical assessments.
The image acquisition protocol included: (1) DTI using dual echo-planar imaging (EPI) sequence with TR = 8000 msec, TE = 86.5 msec, FOV = 24 cm, imaging matrix 96 × 96, slice thickness 4 mm (2.5 × 2.5 × 4 mm3 voxel size), 31 slices, b-value of 1500 sec/mm2, 55 diffusion attenuate directions, 1 average; (2) T2-weighted imaging (T2WI) using fast spin-echo sequence with effective TE of 30 and 117 msec, TR of 2500 msec, imaging matrix 320 × 224, 4 mm thick; (3) T1-weighted imaging (T1WI) using gradient echo sequence with TE of 14 msec, TR of 500 msec, imaging matrix 320 × 224, 4 mm thick.
Maraka S., Jiang Q., Jafari-Khouzani K., Li L., Malik S., Hamidian H., Zhang T., Lu M., Soltanian-Zadeh H., Chopp M, & Mitsias P.D. (2014). Degree of corticospinal tract damage correlates with motor function after stroke. Annals of Clinical and Translational Neurology, 1(11), 891-899.
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9

Diffusion Tensor Imaging in Spinal Cord Injury

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A DTI scan was performed 24 hours before SCI and at 6 hours and 1, 2, 3 and 4 weeks after SCI using a 3.0 T SIGNA MRI scanner (GE Medical Systems, Milwaukee, WI, USA) at the same loci as the conventional MRI scan. The scanning parameters were as follows: diffusion-weighted coefficient (b-value) = 1000 s/mm2; diffusion-sensitive gradient = 15 different directions; repetition time = 3500 ms; echo time = 87.5 ms; thickness = 2.4 mm; space = 0; field of view = 10; acquisition matrix = 64 × 64. All data were input into a workstation running Advantage Windows 4.2 (GE Healthcare). The region of interest (ROI) was identified by the fat under the skin, which was displayed as a high signal on conventional T2WI MRI (Yan et al., 2007). Based on the fractional anisotropy (FA) map, the ROI was placed in the inferior medulla and the inferior oblongata. The ROI was selected by two independent testers, and apparent diffusion coefficient (ADC) and FA values were obtained. FA values reflect the degree of spatial displacement of water molecules, and higher FA values indicate stronger anisotropy. ADC values are independent of the diffusion directions, and indicate the diffusional displacement of water molecules.
Zhang D., Wang F., Zhai X., Li X.H, & He X.J. (2018). Lithium promotes recovery of neurological function after spinal cord injury by inducing autophagy. Neural Regeneration Research, 13(12), 2191-2199.
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10

Functional MRI with BOLD Imaging

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Images were acquired on a 3T GE Signa MRI scanner equipped with an 8-channel phased array coil and gradients for echo-planar blood oxygen level-dependent (BOLD) imaging. T1-weighted anatomical localizer imagers were first collected in the sagittal plane using conventional parameters, followed by a high-resolution (.94mm × 1.00mm × .94mm) 3-D spoiled gradient recalled (SPGR) sequence collected in the coronal plane to use for co-registration of functional images. T2*-weighted BOLD images were then acquired using the following parameters: 26 axial-oblique slices parallel to the anterior-posterior commissural (AC-PC) line, TR: 1500ms, TE: min full, flip angle: 60°, slice thickness: 5.0mm, in-plane resolution: 3.75mm × 3.75mm, acquisition matrix: 64 × 64 pixels over a field of view of 24cm × 24cm. A total of 246 volumes were acquired in each of 4 functional runs. The first six volumes from each run were discarded to account for initial fluctuation in magnetization.
Shafritz K.M., Bregman J.D., Ikuta T, & Szeszko P.R. (2015). NEURAL SYSTEMS MEDIATING DECISION-MAKING AND RESPONSE INHIBITION FOR SOCIAL AND NONSOCIAL STIMULI IN AUTISM. Progress in neuro-psychopharmacology & biological psychiatry, 60, 112-120.
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