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3.0 tesla scanner

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The 3.0 Tesla scanner is a magnetic resonance imaging (MRI) system produced by GE Healthcare. It is designed to generate high-quality images of the human body by using a strong magnetic field and radio waves. The 3.0 Tesla scanner has a magnetic field strength of 3 Tesla, which is higher than the standard 1.5 Tesla scanners, allowing for improved image resolution and detail.

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Lab products found in correlation

12 channel head coil, by GE Healthcare (3 mentions) 8 channel brain phased array coil, by GE Healthcare (1 mentions) 8 channel head coil, by GE Healthcare (1 mentions) 8 channel phased array head coil, by GE Healthcare (1 mentions)

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3 Tesla scanner (20 citations) 3.0 Tesla (6 citations) Signa HDx 3.0 Tesla MR scanner (6 citations) Signa HDxt 3.0 Tesla scanner (6 citations) X750 3.0 Tesla MRI scanner (5 citations) Signa HDx 3.0 Tesla MRI scanner (4 citations) MR750 3.0 Tesla MRI scanner (3 citations) Scanners (2 citations) 3.0 Tesla MR 750 scanner (2 citations) 3.0 Tesla General Electric scanner (2 citations)

16 protocols using 3.0 tesla scanner

1

Diffusion-Weighted MRI Acquisition Protocol

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An experienced technician, unaware of the study’s purpose, performed the MRI scans. All MRI scans were performed on a 3.0 Tesla scanner (GE Healthcare, GE Asian Hub, Shanghai, China) using a 32-channel intraoperative head coil. The diffusion-weighted images were acquired using a single-shot spin-echo planar imaging sequence with the following parameters: 43 interleaved contiguous axial slices, slice thickness = 1.5 mm, repetition time = 8600 ms, flip angle = 90°, field of view = 270 × 270 mm2, matrix size = 128 × 128, number of excitations = 1, 30 diffusion-weighted volumes with non-collinear directions (b = 1000 s/mm2), and five non-diffusion-weighted volumes (b = 0 s/mm2). Total acquisition time was approximately 15 minutes.
Su J.B., Xi S.D., Zhou S.Y., Zhang X., Jiang S.H., Xu B., Chen L., Lei Y., Gao C, & Gu Y.X. (2019). Microstructural damage pattern of vascular cognitive impairment: a comparison between moyamoya disease and cerebrovascular atherosclerotic disease. Neural Regeneration Research, 14(5), 858-867.
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2

Resting-State fMRI Data Preprocessing Protocol

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rs-fMRI data were acquired on a 3.0 Tesla scanner (General Electric) equipped with an 8-channel brain-phased array coil. Functional data were obtained using a gradient-echo echo-planar imaging (EPI) sequence (TR/TE = 2000ms/30 ms, flip angle = 90°, slice sickness = 4 mm, slice number = 33, field of view = 240 × 240 mm2, matrix size = 64 × 64, voxel size = 3.75 × 3.75 × 4 mm3, 190 time points collected).
Image preprocessing used the Data Processing Assistant for Resting-State fMRI (DPARSF, V4.3) (http://rfmri.org/DPARSF). The steps are as follows: We excluded the first five brain volumes, correction of slice timing and realignment. Subsequent images were normalized to the Montreal Neurologic Institute (MNI) space and spatial resampling conducted to make each voxel size is 3 × 3 × 3 mm3. To produce a high signal-to-noise ratio, the image data was smoothed with a full width at half maximum (FWHM) of 8 mm Gaussian kernel. We used multiple linear regression derived from Volterra expansion regression analysis for statistical adjustments to some false variance sources such as head motion parameters and averaging of signals from white matter and cerebrospinal fluid. The linear trend of the functional image was then eliminated by detrending and time bandpass filtering (0.01–0.10 Hz).
Yang M., Liu L., Cui H., Deng C., Xiong W., Zhao G., Du S., Kosten T.R., Chen H., Li Z, & Zhang X. (2023). Dynamic functional thalamocortical dysconnectivity in schizophrenia correlates to antipsychotics response. Schizophrenia, 9(1), 40.
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3

MRI Assessment of Cerebrovascular Integrity

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All MRI data were obtained using a 3.0 Tesla scanner (General Electric, Milwaukee, WI, USA) with a 12-channel head coil. Fast spin-echo (FSE) T2-weighted images and fluid attenuation inversion recovery (FLAIR) T1-weighted images were acquired with TE/TR = 112.2/3160 ms and TE/IT/TR = 27.072/860/1696.68 ms, respectively. All MRI images were acquired with a voxel size of 0.4688 × 0.4688 × 5 mm3, 20 sagittal slices and an in-plane resolution of 512 × 512. MRI images were then assessed visually by two neurologists using the Fazekas scale (Fazekas et al., 1987 (link)). Note that all subjects had no cerebral infarcts defined as focal hyperintensities in T2 images.
Duan D., Li C., Shen L., Cui C., Shu T, & Zheng J. (2016). Regional Gray Matter Atrophy Coexistent with Occipital Periventricular White Matter Hyper Intensities. Frontiers in Aging Neuroscience, 8, 214.
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4

Neuroimaging-based Brain Volume Analysis

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MRI scans were conducted using a GE 3.0 Tesla scanner for each subject to obtain a comprehensive volumetric report. MRI data were processed using the Neuroreader® neuroimaging software, which is clinically used to extract regional brain volumes and compare them to healthy age- and gender-matched controls [28 (link)]. Amongst the volumes provided by Neuroreader®, we used left and right hippocampal, amygdala, temporal lobe, frontal lobe, and lateral ventricle volumes in our analyses [29, 30 (link)], and all volumes were normalized for total intracranial volume (TIV).
Ganapathi A.S., Glatt R.M., Bookheimer T.H., Popa E.S., Ingemanson M.L., Richards C.J., Hodes J.F., Pierce K.P., Slyapich C.B., Iqbal F., Mattinson J., Lampa M.G., Gill J.M., Tongson Y.M., Wong C.L., Kim M., Porter V.R., Kesari S., Meysami S., Miller K.J., Bramen J.E., Merrill D.A, & Siddarth P. (2022). Differentiation of Subjective Cognitive Decline, Mild Cognitive Impairment, and Dementia Using qEEG/ERP-Based Cognitive Testing and Volumetric MRI in an Outpatient Specialty Memory Clinic. Journal of Alzheimer's Disease, 90(4), 1761-1769.
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5

N-back Task fMRI in Substance Use Disorder

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Participants completed a 2.5-hour study visit at the UIC Center for Magnetic Resonance (MR) Research, and provided a urine sample for toxicology (DrugCheck 5 panel cup by Express Diagnostics) and pregnancy testing (hCG Urine Pregnancy Test Strip). Before scanning, participants received detailed instructions on the N-back and practiced a computerized N-back task. The in-scanner N-back was similar to the behavioral study except that the trials per condition were truncated from 40 to 35 to allow for a manageable scanning time.
Blood oxygen level-dependent (BOLD) imaging was performed on a General Electric 3.0 Tesla scanner. Thirty-seven images were acquired in an oblique, axial plane. The fMRI N-back test was administered using a block design with the following acquisition parameters: TR=2000ms, TE=25 ms, flip angle 90°, NEX=1, acquisition matrix=64×64, FOV=20 cm2, slices=37, slice thickness=3mm, skip=1 mm, Bandwith=62.5 kHz, volumes=270, acquisition time=8:56. Structural MRI was performed with a three-dimensional inversion recovery prepared spoiled gradient recalled echo acquisition.
Sundermann E.E., Bishop J.R., Rubin L.H., Little D.M., Meyer V.J., Martin E., Weber K., Cohen M, & Maki P.M. (2014). Genetic Predictor of Working Memory and Prefrontal Function in Women with HIV. Journal of neurovirology, 21(1), 81-91.
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6

Neurological Assessment of MRI Images

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All MRI data were obtained using a 3.0 Tesla scanner (General Electric, Milwaukee, WI, USA) with a 12-channel head coil. FSE T2-weighted images and FLAIRT1-weighted images were acquired with TE/TR =112.2/3160 ms and TE/IT/TR =27.072/860/1696.68 ms, respectively. All MRI images were acquired with voxel size of 0.4688 × 0.4688 × 5 mm3, 20 sagittal slices and an in-plane resolution of 512 × 512. MRI images were then assessed visually by two neurologist using the Fazekas scale [19 (link)].
Duan D., Shen L., Cui C., Shu T, & Zheng J. (2017). Association between Low-density lipoprotein cholesterol and occipital periventricular hyperintensities in a group of Chinese patients: an observational study. Lipids in Health and Disease, 16, 48.
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7

Resting-State fMRI Acquisition Protocol

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Prior to the first MRI acquisition using a General Electric (Waukesha,
WI) 3.0 Tesla scanner, participants were familiarized with the MRI environment
by lying in a mock scanner. During MRI acquisition, participants were instructed
to lie as still as possible and foam padding was used to limit movement and
improve comfort. Anatomical and resting state sequences were run during the
scanning session. High-resolution, three-dimensional spoiled gradient- recalled
at steady-state (SPGR) anatomic images were acquired (TE = 3.9ms; TR = 9.6ms;
inversion recovery (IR) preparation time = 450ms; flip angle = 12°;
number of excitations (NEX) = 1; slice thickness = 1.0mm; FOV = 240mm;
resolution = 256 × 224). During the resting state scan, participants were
instructed to keep their eyes open and to look at a fixation cross. A
gradient-echo, echo-planar pulse sequence sensitive to blood oxygenation
level-dependent (BOLD) contrast were acquired (TE = 25ms; TR = 2000ms; flip
angle = 77°; NEX = 1; 36 axial slices; 4.0 mm isotropic voxels; FOV =
240mm; resolution = 64 × 64; duration 6 minutes).
Chirles T.J., Reiter K., Weiss L.R., Alfini A.J., Nielson K.A, & Smith J.C. (2017). Exercise Training and Functional Connectivity Changes in MCI and Healthy Elders. Journal of Alzheimer's disease : JAD, 57(3), 845-856.
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8

fMRI Acquisition for Brain Imaging Studies

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Images were acquired on a 3.0 Tesla scanner (General Electric, Milwaukee, Wisconsin) with an 8-channel head coil. Functional images were acquired with gradient-echo T2* blood-oxygenation-level-dependent (BOLD) contrast, with TR 2000 ms, TE 30 ms, field-of-view 220 mm2, 64 × 64 matrix, 35 slices, 3 mm thick, 1 mm gap. Head motion was minimized using a VacFix head-conforming vacuum cushion (Par Scientific A/S, Odense, Denmark). MR-compatible goggles were used for visual stimuli and responses recorded with a 2 button response device.
Yamamoto D.J., Reynolds J., Krmpotich T., Banich M.T., Thompson L, & Tanabe J. (2014). Temporal profile of fronto-striatal-limbic activity during implicit decisions in drug dependence. Drug and alcohol dependence, 136, 108-114.
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9

Brain MRI Imaging Protocol

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MRI scanning of the brain was performed using a 3.0 Tesla scanner (General Electric, Milwaukee, WI, United States) with a 12-channel head coil. Fast spin-echo (FSE) T2-weighted images and FLAIR T1-weighted images were acquired with TE/TR = 112.2/3160 ms and TE/IT/TR = 27.072/860/1696.68 ms. All MRI images were acquired with a voxel size of 0.4688 × 0.4688 × 5 mm (Lal et al., 2017 (link)), 20 sagittal slices and an in-plane resolution of 512 × 512.
Duan W., Lu L., Cui C., Shu T, & Duan D. (2023). Examination of brain area volumes based on voxel-based morphometry and multidomain cognitive impairment in asymptomatic unilateral carotid artery stenosis. Frontiers in Aging Neuroscience, 15, 1128380.
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10

Functional and Structural Brain Imaging

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All subjects were scanned using a General Electric 3.0 Tesla scanner (General Electric Medical Systems, Waukesha, WI, United States) with a standard head coil. Functional images were obtained by a gradient-recalled echo-planar imaging (GRE-EPI) sequence: repetition time (TR) = 2,000 ms; echo time (TE) = 30 ms; flip angle (FA) = 90°; acquisition matrix = 64 × 64; field of view (FOV) = 220 × 220 mm2; thickness = 3.2 mm; gap = 0 mm; number of slices = 43. T1-weighted anatomical images were acquired by a 3D-magnetization prepared rapid gradient-echo (MPRAGE) sequence: TR = 8.2 ms; TE = 3.18 ms; FA = 8°; acquisition matrix = 256 × 256; FOV = 256 × 256 mm2; thickness = 1.0 mm; gap = 0 mm; number of slices = 176. During the scan, subjects were asked to keep their eyes closed, remain still, and not to fall asleep.
Zhuang L., Ni H., Wang J., Liu X., Lin Y., Su Y., Zhang K., Li Y., Peng G, & Luo B. (2020). Aggregation of Vascular Risk Factors Modulates the Amplitude of Low-Frequency Fluctuation in Mild Cognitive Impairment Patients. Frontiers in Aging Neuroscience, 12, 604246.
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