All MR examinations were performed on one 1.5-T GE Signa HDxt scanner, with tight quality assurance. Diagnostic MR included T1, T2, T2*, and DTI sequences (see “Online Methods” and Supplementary Table 1 in Supplementary Material [42] (link)) to assess infarcts and SVD features [43] (link). We performed DCE MRI [37] (link) for BBB leak at 1–3 months after stroke (to minimize the index stroke effect on BBB) and T1 mapping for brain water content (see Supplementary Material ). After two 3D fast-spoiled gradient-echo acquisitions (flip angles 2 and 12°) for precontrast T1 (T10) maps, we injected gadoterate meglumine (Gd-DOTA, DOTAREM; Guerbet, Paris, France) 0.2 mL/kg (i.e., 0.1 mmol/kg body weight) at 2 mL/second intravenously via injection pump and then repeated the 3D T1-weighted sequence sequentially 20 times for 24 minutes [44] (link), [36] (link), [37] (link), using long acquisition times to detect subtle BBB leak [36] (link), [35] (link).
Signa hdxt scanner
Manufactured by GE Healthcare
Sourced in United States
The Signa HDxt scanner is a magnetic resonance imaging (MRI) system designed by GE Healthcare. It is capable of producing high-quality medical images to support diagnostic procedures. The system utilizes advanced technology to capture detailed information about the internal structures of the human body.
Automatically generated - may contain errors
Lab products found in correlation
8 channel head coil, by GE Healthcare (3 mentions)
Dotarem, by Guerbet (1 mentions)
Discovery mr750 3t scanner, by GE Healthcare (1 mentions)
Gadobenate dimeglumine, by Bracco (1 mentions)
Signa excite scanner, by GE Healthcare (1 mentions)
Ge discovery mr750 scanner, by GE Healthcare (1 mentions)
8 channel phase array head coil, by GE Healthcare (1 mentions)
8 channel coil, by GE Healthcare (1 mentions)
8 channel hd brain coil, by GE Healthcare (1 mentions)
Magnetom sonata scanner, by Siemens (1 mentions)
Discovery 750 scanner, by GE Healthcare (1 mentions)
Array of spatial sensitivity encoding techniques, by GE Healthcare (1 mentions)
3.0 t achieva scanner, by Philips (1 mentions)
Eight channel head coil, by GE Healthcare (1 mentions)
Eight channel phase array head coil, by GE Healthcare (1 mentions)
Eight channel coil, by GE Healthcare (1 mentions)
Omniscan, by GE Healthcare (1 mentions)
Avanto scanner, by Siemens (1 mentions)
33 protocols using signa hdxt scanner
1
Comprehensive Stroke MRI Assessment
2
Improving MRI Artifact Reduction using MAVRIC-SL
3
Multimodal Neuroimaging Protocol for DTI
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MRI scanning was performed on a 3.0 Tesla GE Signa HDxt scanner (General Electric, Milwaukee, Wisconsin, USA) using an 8-channel phased-array head coil. For this study we used an echo planar imaging based DTI acquisition consisting of 5 volumes without directional weighting and 30 volumes with 30 non-collinear diffusion gradient directions (b-value 1000 s/mm2, repetition time (TR) 6200 ms, echo time (TE) 81 ms, 45 contiguous axial slices of 2.4 mm). Participants furthermore had a T2-based Fluid Attenuating Inverse Recovery (3D-FLAIR; TR 8000 ms, TE 126 ms, slice thickness 1.2 mm) and a T1-weighted fast spoiled gradient-echo (TR 8.2 ms, TE 3.2 ms, 1 mm slice thickness) sequence.
4
fMRI Analysis of Food Cue Reactivity in Diabetes
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Comparable MRI acquisition and analyses were used as described previously [19 (link)]. In brief, MRI data were acquired on a 3.0 Tesla GE Signa HDxt scanner (General Electric, Milwaukee, WI, USA) and fMRI data were acquired using an echo planar imaging T2* blood oxygen level dependent (BOLD) pulse-sequence. Functional images were analysed with SPM8 software (Wellcome Trust Centre for Neuroimaging, London, UK). At the first level, high-energy food, low-energy food and non-food blocks were modelled. Next, we computed two contrasts of interest: all food pictures > non-food pictures; high-energy food pictures > non-food pictures. These first-level contrast images were entered into second-level three-way ANOVA with factors group (healthy lean, diabetes), infusion (placebo, exendin 9-39) and meal state (fasted, postprandial). A priori regions of interest (ROIs) were determined based on previous studies (i.e. left and right insula, caudate nucleus, putamen, amygdala and orbitofrontal cortex (OFC)) [19 (link)–21 (link)]. CNS activations are reported as significant when they survive family-wise error correction for multiple comparisons on the voxel level using small volume correction within predefined ROIs, as described previously [19 (link)].
5
Cardiac MRI Techniques for Ventricular Assessment
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CMR images were obtained using a 1.5 Tesla GE Signa HDxt scanner (General Electric, Milwaukee, WI, USA). The fast imaging employing steady-state acquisition (FIESTA) cine technique and other techniques such as those reported previously were implemented [16 (link),17 (link)]. Left ventricular ejection fraction (LVEF), left ventricular end-systolic volume (LVESV), LVEDV and LVM were assessed with the use of standard volumetric techniques and calculated with commercially available QMass® MR analysis software, version 7.6 (Medis Medical Imaging Systems bv, Leiden, The Netherlands) [16 (link)]. LVM was indexed for body surface area (BSA) and LVH diagnosed based on CMR (CMR–LVH) was defined as LVM/BSA >72 g/m2 in men or >55 g/m2 in women [18 (link)].
6
Functional MRI Acquisition and Preprocessing
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Scans were performed on a 3.0-T GE Signa HDxt scanner (General Electric, Milwaukee, WI, USA). A gradient echo, echo planar imaging sequence was used for functional imaging (19.2 cm2 field of view, TR of 1950 ms, TE of 25 ms, an 80° flip angle, isotropic voxels of 3 mm, and 36 slices). Before each imaging session, a local high-order shimming technique was used to reduce susceptibility artifacts. A scanning session consisted of six alternating ON-OFF cycles over 108 volumes in a classical block design (one block consisted of nine volumes), lasting 3.6 min. For co-registration with the functional images, a T1-weighted scan was obtained (3D FSPGR sequence, 25 cm2 field of view, TR of 7.8 ms, TE of 3.0 ms; slice thickness of 1 mm, and 176 slices).
7
Multiparametric MRI Acquisition Protocol
8
Quantifying Intrathecal Infusion using MRI
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T1-weighted images of the primate brain and spinal cord were acquired on a 1.5T Signa HDxt scanner (GE Medical Systems, Waukesha, WI). Intrathecal administration was monitored with either the head or the body coil. Prior to dosing, three-dimensional spoiled gradient echo (3D magnetization-prepared gradient echo) images were taken with a repetition time (TR)/echo time (TE)/flip angle = 4.0 ms/1.02 ms/15°, number of excitations (NEX) = 4, matrix = 256 × 512, field of view (FOV) = 4 × 12 cm, and slice thickness = 1.0 mm. Lateral ventricle administration images were acquired with a head coil. 3D spoiled gradient recalled (SPGR) images were acquired with a TR/TE/flip angle = 3.9 ms/1.54 ms/15°, NEX = 4, matrix = 256 × 192, FOV = 16 × 12 cm, and slice thickness = 1.0 mm. SPGR scans were acquired consecutively throughout the infusion procedure (acquisition time was ∼4 min per sequence) to monitor distribution from the cannula tip.
Infusion sites, cannula tracts, and cannula tip were identified on T1-weighted MR images in the coronal, axial, and sagittal planes with Osirix (Geneva, Switzerland). Regions of interest were delineated to outline T1 gadoteridol signal. Three-dimensional volumetric reconstructions of the image series and regions of interest were analyzed with Brainlab iPlan Flow Suite (Brainlab, Munich, Germany) to estimate infusate distribution.
Infusion sites, cannula tracts, and cannula tip were identified on T1-weighted MR images in the coronal, axial, and sagittal planes with Osirix (Geneva, Switzerland). Regions of interest were delineated to outline T1 gadoteridol signal. Three-dimensional volumetric reconstructions of the image series and regions of interest were analyzed with Brainlab iPlan Flow Suite (Brainlab, Munich, Germany) to estimate infusate distribution.
9
Resting-state fMRI in Major Depressive Disorder
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A 3T GE Signa HDxt scanner (GE Healthcare, Chicago, IL, USA) equipped with an 8-channel head coil was used for rs-fMRI scanning. MDDs underwent scanning twice (pre/post ECT), and HCs once at baseline. Participants of HCs and MDDs underwent an MRI-scan between 6-8 pm, and the MDDs underwent an MRI-scan one day before ECT and the first day after ECT course ended, participants were directed to keep awake, stay relax and avoid thinking as much as possible. Head motion and machine noise were respectively mitigated by using foam pads and earplugs. All echo-planar imaging pulse sequence parameters were as followed: repetition time (TR) = 2000 ms, echo time (TE) = 40 ms, field of view (FOV) = 240 × 240 mm, matrix = 64 × 64, flip angle = 90°, slice number = 33, slice thickness/gap = 4.0/0 mm; scanner time = 8 min. Three-dimensional T1-weighted MR images used for rs-fMRI co-registration followed: TR = 24 ms; TE = 9 ms; FOV = 240 × 240 mm; matrix = 256 × 256; flip angle = 90°; slice thickness/gap = 1.0/0 mm.
10
Preoperative MRI Acquisition Protocol
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The MRI data from 2019 to 2021 were scanned preoperatively. Pre-surgery MRI images were acquired with a 3.0 GE Signa HDxt scanner with an 8-channel head-coil in the department of radiology, Yijishan Hospital of Wannan Medical College. High-resolution T1-weighted MR images were obtained by a 3D magnetization-prepared rapid gradient-echo (MPRAGE) with the following parameters: repeat time (TR) = 1900 milliseconds (ms), echo time (TE) = 2.49 ms, time inversion (TI) = 900 ms, matrix = 256 × 256, flip angle (FA) = 90°, thickness = 1 millimeter (mm), gap = 0.5 mm, slices = 176. Resting-state functional images, including 240 volumes, were obtained using a gradient-recalled echo-planar imaging (GRE-EPI) sequence, with TR = 2000 ms, TE = 30 ms, FA = 90°, acquisition matrix = 64 × 64, field of view (FOV) = 220 mm × 220 mm, thickness = 4.0 mm, gap = 0 mm, number of slices = 36, and voxel size = 3.4 mm × 3.4 mm × 4 mm.
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