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Mr750 system

Manufactured by GE Healthcare
Sourced in United States

The MR750 system is a magnetic resonance imaging (MRI) equipment manufactured by GE Healthcare. It is designed to capture high-quality images of the human body for diagnostic and clinical purposes. The core function of the MR750 system is to generate detailed images of internal structures and organs using magnetic fields and radio waves, enabling healthcare professionals to assess and diagnose various medical conditions.

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16 protocols using mr750 system

1

High-Resolution T1 MRI Acquisition

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Structural MRI scans were acquired on a 3-Tesla General Electric MR750
system with an eight-channel head coil. A high-resolution T1 anatomical scan was
acquired in the sagittal plane with the following parameters: FOV = 24
cm, 256 × 192 matrix, TR = 8.1 ms, TE = 3.192 ms, flip
angle = 12°, TI = 550 ms, bandwidth = 31.25 kHz,
and 172 1.2 mm slices. After the images were acquired, they were visually
inspected for quality control purposes to ensure there were no artifacts that
might affect image processing (e.g., motion).
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2

MRI Acquisition Protocol for Brain Imaging

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The following scans were acquired on a GE MR750 system at SDSU: structural (T1-weighted 3D SPGR sequence; TR = 8.136 ms, TE = 3.172 ms, TI = 600 ms, flip angle = 8°, field of view (FOV) = 256 mm, matrix size 256 × 192, 1.0 mm isotropic voxel resolution), diffusion-weighted (T2-weighted sequence; TR = 8500 ms, FOV = 192 mm, matrix size 96 × 96, in-plane voxel dimension of 0.9375 × 0.9375 mm/1.875 × 1.875 mm with 2 mm slice thickness, 68 slices, 61 diffusion directions), and fMRI (two-dimensional T2-weighted gradient echo planar imaging blood oxygen level-dependent contrast sequence; TR = 2000 ms, TE = 30 ms, flip angle = 90°, FOV = 200 mm, in-plane voxel dimension of 3.4375 mm x 3.4375 mm voxel resolution, 3.4 mm slice thickness, matrix size 64 × 64, 42 slices, 180 TRs, eyes open).
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3

Whole Brain fMRI Acquisition in Parkinson's Disease

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Whole brain fMRI (fMRI) data were obtained by General Electric MR750 system with an 8-channel head coil while participants kept their eyes open in the scanner. PD were tested on dopaminergic medication. The fMRI images were acquired with a T2*-weighted 2D axial echo-planar pulse sequence (echo time [TE]=30 ms; repetition time [TR]=2000 ms; flip angle=90°; matrix=128×128; slice thickness=5 mm). For spatial registration purpose, a 3D fast spin-echo scan was obtained using the following parameters: TE=100.066 ms; TR=2500 ms; flip angle=90°; matrix=512×512; slice thickness=1.2 mm. To correct for spatial distortions in the echo-planar images, a field map was acquired with a 2D gradient-recalled echo sequence pair (TE=9 ms; TR=1000 ms, slice thickness=5 mm; flip angle=60°; matrix=64×64).
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4

Volumetric Analysis of Insular Cortex

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Subjects were scanned on a 3 Tesla GE MR 750 system. T1-weighted structural scans were acquired using a 3D FSPGR BRAVO pulse sequence (repetition time, 7.58 ms; echo time, 2.936 ms; flip angle, 12°; image matrix, 256 × 256; voxel size, 1 × 1 × 1 mm; 206 contiguous axial slices). T1-weighted images were preprocessed using the VBM8 toolbox (http://dbm.neuro.uni-jena.de/vbm) as implemented in SPM8 (Wellcome Department of Cognitive Neurology) in order to estimate the volume of grey matter, white matter, and cerebral spinal fluid for computation of total intracranial volume for the purpose of correcting insular volumes.
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5

3T MRI Brain Imaging Protocol

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MRI scans were conducted on a 3 Tesla General Electric MR 750 system with 50-mT/m gradients and an 8-channel head coil for parallel imaging (General Electric, Waukesha, Wisconsin, USA). T1-weighted structural scans were acquired using a 3D FSPGR BRAVO pulse sequence (TR = 7.58 ms; TE = 2.936 ms; flip angle = 12°; image matrix = 256 × 256; voxel size = 1 × 1 × 1 mm3; 206 contiguous axial slices). T2*-weighted functional scans were acquired using a SENSE spiral-in pulse sequence along the axial plane (TR = 2000 ms; TE = 30 ms; flip angle = 70°; image matrix = 64 × 128; voxel size = 3.8 × 3.8 × 3.8 mm3; 34 contiguous axial slices).
Preprocessing and statistical analysis of MRI data were performed using the Statistical Parametric Mapping 8 software (SPM8; Wellcome Trust Center for Neuroimaging). Functional images were spatially realigned to correct for head motion artifacts, coregistered to T1-weighted structural images, normalized to the Montreal Neurologic Institute (MNI) space using high-dimensional warping estimated from T1-weighted structural images implemented in the VBM8 toolbox (http://dbm.neuro.uni-jena.de/vbm), smoothed using a 4-mm full-width half-maximum (FWHM) Gaussian kernel, and temporally filtered using a 128-s high-pass filter. The first five images of each run were excluded to focus analysis on images acquired after the magnet achieved steady-state equilibrium.
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6

Standardization of ASL fMRI Data

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For the ASL fMRI data, corresponding CBF images were obtained using an automated image postprocessing tool embedded in the GE healthcare MR-750 system. Subsequently, the CBF images will be spatially normalized to the standard MNI space by using the transformation fields derived from tissue segmentation of structural images and resampled to 3 mm isotropic voxels. The resulting images will be transformed to z scores using Fisher’s transformation approach and then will be smoothed with 8 mm FWHM isotropic Gaussian kernel.
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7

Resting-State fMRI Study of Parkinson's Disease

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Whole brain resting-state fMRI (rs-fMRI) data was obtained by General Electric MR750 system with an 8-channel head coil while subjects kept their eyes open in the scanner. PD participants were tested on dopaminergic medication. The rs-fMRI images were acquired with a T2*-weighted 2D axial echo-planar pulse sequence (echo time [TE]=30 ms; repetition time [TR]=2000 ms; flip angle=90°; matrix=128×128; slice thickness=5 mm). For spatial registration purpose, a 3D fast spin-echo scan was obtained using the following parameters: TE=100.066 ms; TR=2500 ms; flip angle=90°; matrix=512×512; slice thickness=1.2 mm. To correct for spatial distortions in the echo-planar images, a field map was acquired with a 2D gradient-recalled echo sequence pair (TE=9 ms; TR=1000 ms, slice thickness=5 mm; flip angle=60°; matrix=64×64).
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8

High-resolution MRI Brain Imaging Protocol

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Scanning was performed on a 3-T General Electric MR 750 system with gradients of 50 mT/m and an eight-channel head coil for parallel imaging (General Electric, Waukesha, WI, USA). High-resolution images were acquired using a 3D fast SPGR BRAVO pulse sequence: TR, 7.58 ms; TE, 2.936 ms; image matrix, 2562; α = 12°; voxel size, 1 mm × 1 mm × 1 mm; 206 contiguous slices. These structural images were aligned in the near-axial plane defined by the anterior and posterior commissures. Whole-brain functional images were acquired using a spiral-in pulse sequence with sensitivity encoding along the axial plane (TR, 2000 ms; TE, 30 ms; image matrix, 64 × 128; α = 70°; voxel size, 3.8 mm × 3.8 mm × 3.8 mm; 34 contiguous slices).
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9

Neuroimaging Protocol for fMRI Analysis

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Scanning was performed on a 3 Tesla General Electric MR 750 system with 50-mT/m gradients and an eight-channel head coil for parallel imaging (General Electric). Structural images were acquired using a 3D fast SPGR BRAVO pulse sequence: repetition time (TR) = 7.58 ms; echo time (TE) = 2.936 ms; image matrix = 2562; α = 12°; voxel size = 1 × 1 × 1 mm; 206 contiguous slices) for coregistration with the functional data. Structural images were aligned in the near-axial plane defined by the anterior and posterior commissures. Whole-brain functional images were acquired using a spiral-in pulse sequence with sensitivity encoding along the axial plane (TR = 2000 ms; TE = 30 ms; image matrix = 64 × 128; α = 70°; voxel size = 3.8 × 3.8 × 3.8 mm; 34 contiguous slices). The first five images of each run were excluded from analyses to ensure the magnet had reached steady state.
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10

Implicit Face Recognition: Multimodal MRI Study

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MRI data were acquired on a 3T GE MR750 system (General Electric, Milwaukee, WI, USA). High-resolution whole-brain T1-weighted structural MRI data were acquired to improve normalization of the functional images. Task-based fMRI data were acquired during the implicit face recognition task (lasted around 12 min, two sessions were implemented, each session consisted of 173 volumes). Functional MRI data were preprocessed using SPM12 (Statistical Parametric Mapping; http://www.fil.ion.ucl.ac.uk/spm) (see Supplementary for details).
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