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Ge signa mr scanner

Manufactured by GE Healthcare
Sourced in United States

The GE Signa MR scanner is a magnetic resonance imaging (MRI) system designed for medical imaging. It utilizes strong magnetic fields and radio waves to generate detailed images of the body's internal structures. The core function of the Signa MR scanner is to provide high-quality imaging for diagnostic and research purposes.

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4 protocols using ge signa mr scanner

1

Multimodal MRI of Brain Structure

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Diffusion-weighted imaging was acquired on a 1.5 T GE Signa MR scanner (GE Healthcare, USA) at the Institute of Psychiatry/Maudsley Hospital, King's College London. A total of 60 contiguous near-axial slices were acquired with no gap and the following parameters: isotropic voxels of 2.5 mm×2.5 mm×2.5 mm, reconstructed as 1.875 mm×1.875 mm×2.5 mm, with coverage of the whole head, peripherally-gated to the cardiac cycle, with an echo time of 107 ms, and effective repetition time of 15 R-R intervals; diffusion encoding gradients duration 17.3 ms, providing a maximum diffusion weighting of 1300 s/mm2 (Jones et al., 2002 (link)). At each slice location, 7 images with no diffusion gradient (i.e., b = 0 s/mm2) were acquired, together with 64 diffusion weighted images (1300 s/mm2) with gradient directions distributed evenly in space.
T1-weighted MR images were also collected. A total of 124 slices were acquired, with a matrix size of 256×256, slice thickness of 1.5 mm and slice gap of 0 mm. Images were acquired in coronal plane, with a spoiled gradient recalled pulse sequence (flip angle 35°, field of view 240 mm, echo time 5 ms, repetition time 35 ms).
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2

Striatal Dopamine Synthesis Capacity via PET

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Participants received an 18F-DOPA PET scan, providing a measure of striatal dopamine synthesis capacity (37 (link)). The cerebellum was used as a reference region, and voxelwise parametric images of Kicer were constructed from movement-corrected images using a wavelet-based Patlak approach (see Figure S1) (38 (link)). We also determined Kicer for limbic, associative (the pre- and postcommissural caudate, and precommissural putamen), and sensorimotor (postcommissural putamen) striatal subdivisions, using the anatomically defined approach outlined by Martinez et al. (30 (link)). Participants also received an 8.5-minute rs-fMRI scan on a 3T GE Signa MR scanner (GE Healthcare, Milwaukee, WI). See the Supplemental Methods for further details.
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3

Structural and Functional MRI Preprocessing

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Data were acquired using a 3T GE-Signa MR scanner located at the Anschutz Medical Campus of the University of Colorado Denver. Structural images were acquired using high-resolution, T1-weighted 3D-SPGR, anatomical images (repetition time = 10.07 ms, echo time = 0.03 ms, flip angle = 10°, 256×256 matrix, 0.86 mm x 0.86 mm in-plane resolution, 122 slices, 1.3 mm slice thickness). Functional images were acquired using a T2*-weighted gradient echo (repetition time = 2000 msec, echotime = 32 msec, flip angle = 70°, 29 slices parallel to the AC–PC line, thickness = 4 mm, gap = 0 mm, 64×64 acquisition matrix, 3.44 mm x 3.44 mm resolution, in-plane field-of-view = 22 cm).
Image preprocessing was performed within FSL (Jenkinson et al., 2012 (link); FMRIB Software library, Oxford, UK, www.fmrib.ox.ac.uk). Images were run with the brain extraction tool (BET) to remove skull and other non-brain features. Motion correction was performed using the rigid body translation and rotation algorithm (MCFLIRT). A high pass filtering cutoff of 100 seconds was used for temporal filtering and 8 mm full-width half maximum Gaussian Kernel was used for spatial smoothing. FMRIB’s Improved Linear Model (FILM) was used for prewhitening before statistical analyses.
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4

T1-weighted Brain Imaging Protocol

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A 3 T GE Signa MR scanner (General Electric Medical Systems) in the Department of Radiology of Xiangya Hospital of Central South University was used to collect T1‐weighted structural imaging data. The acquisition parameters were as follows: repetition time/echo time/inversion time of 7.792 ms/2.984 ms/800 ms; flip angle of 7°; matrix size of 256 × 256; slice thickness of 1 mm; and voxel size of 1 mm × 1 mm × 1 mm. These data were used for analysis after quality assurance.
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