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64 protocols using mr750 scanner

1

Comparing NODDI and MEANS Metrics in Cortical Dysplasia

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As a supplementary analysis, NODDI fin and MEANS fin were further compared on clinical data. Three children (12–36 months, 2 boys) with focal cortical dysplasia at Nemours/Alfred I. duPont Hospital for Children were retrospectively selected for the analysis. Two children were scanned on a 3T GE MR750 scanner, and the other one was scanned on a GE SIGNA PET/MR scanner using the same diffusion protocol. The b-values were 1, 2 and 3 ms/μm2 with 15, 20 and 25 gradient directions, respectively. The number of b = 0 images was 6. Other diffusion imaging parameters were: TR = 9700 ms, TE = 99 ms, number of slices = 56, slice thickness = 2.5 mm, field of view = 240 × 240 mm2, in-plane image resolution = 2.5 × 2.5 mm2, and parallel imaging acceleration factor = 2. Diffusion images were preprocessed with corrections for head motion, and eddy current artifacts using FSL eddy command [40 (link)]. NODDI fin and MEANS fin were obtained subsequently following the above data analysis. T1 weighted, T2 weighted and T2 FLAIR structural images were co-registered to the mean b = 0 image using FSL flirt command [41 (link)]. The study was approved by local Institutional Review Board.
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2

Resting-State fMRI of Healthy Participants

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Imaging data were acquired on a 3 Tesla GE MR750 Scanner with an 8-channel head coil, including high-resolution T1-weighted structural images (TR: 11.08ms; TE: 4.3ms; flip angle: 45°; FOV: 256mm; 256 × 256 matrix; 180 slices; 1mm3 resolution). Resting state T2*-weighted images were acquired for 6:10 minutes (185 whole-brain volumes) with an Array Spatial Sensitivity Encoding Technique (ASSET), using a single-shot gradient-recalled, echo-planar pulse sequence (TR: 2000ms; TE: 30ms; slice thickness: 3.4mm; in-plane resolution: 3.4mm2). Heart rate was monitored with a pulse oximeter and respiration with a pressure sensitive belt. Physiological data were only available for 42 of the 56 participants (21 per group) due to equipment malfunction. Participants were instructed to relax and remain still in the scanner, and to fixate a white crosshair at the center of a black projection screen.
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3

Multimodal Imaging of Amyloid Deposition in WRAP Cohort

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Acquisition of 11C-PiB-PET and MRI imaging data in the WRAP cohort has been described in detail previously [23 (link)]. Briefly, 11C-PiB-PET scans were acquired in a 3-D mode with a dynamic 70-min acquisition protocol after an injection of a 15-mCi target dose of 11C-PiB bolus. Dynamic acquisition frames consisted of 17 time frames, including 5 × 2 min and 12 × 5 min frames. A filtered back-projection algorithm was used for reconstructing the data. For anatomical reference, a high-resolution T1-weighted MRI scan was acquired using a 3.0-Tesla GE MR750 scanner with an 8 or 32 channel head coil. The 3-D inversion recovery prepared fast spoiled gradient-echo sequence had the following parameters: inversion time (TI) = 450 ms, repetition acquisition matrix = 256 × 256 × 156 mm, field of view (FOV) = 256 mm, and slice thickness = 1.0 mm. The reconstructed time series of 11C-PiB-PET data were realigned, corrected for motion, de-noised, and coregistered to the subject’s T1-weighted MRI scan based on co-registration of the time-integrated PET scan utilizing the Statistical Parametric Mapping software (SPM12; www.fil.ion.ucl.ac.uk/spm). Parametric distribution volume ratio (DVR) maps were generated using Logan graphical analysis methods [24 (link), 25 (link)] with t* = 35 min and cerebellar gray matter as a reference region of non-displaceable binding.
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4

Lumbar MRI Cartilage and Fat Imaging

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Lumbar scans were performed on a 3T GE MR750 scanner and sequences included standard clinical T1- and T2-weighted MRI sequences and advanced sequences used for cartilage endplate detection (high-resolution 3D ultrashort echo time, UTE25 (link) and fat fraction measurement (Iterative Decomposition of water and fat with Echo Asymmetry and Least-Squares Estimation, IDEAL26 (link) (Figure 1). Specifications for the UTE sequence included TE=0.075 ms, TR=10 ms, voxel size of 0.22×0.22×0.80 mm3, and fat suppression. Specifications for the IDEAL sequence included TR=7ms, TE=2.1ms, flip angle=3°, rBW=±83.3kHz, FoV=22cm, in-plane resolution=1.3mm, and slice thickness=4mm).
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5

High-Resolution 3D T1-Weighted MRI

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Participants underwent a research cerebral MRI scan on a 3T GE MR750 scanner. Hearing protection was provided with earplugs and headphones. For volumetric analysis, high-resolution three-dimensional (3D) T1-weighted images were acquired using a 3D spoiled gradient echo (SPGR) pulse sequence (TR = 11 ms, TE =5 ms, inversion time = 600 ms, FOV = 256 mm, matrix =256 × 192 mm, ST = 1 mm, flip-angle = 8°).
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6

TSPO PET and MRI Biomarkers in Alzheimer's Disease

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[18F]-FEPPA was synthesized as previously described.15 (link) All subjects underwent one [18F]-FEPPA PET scan and one MRI scan. The MRI scans of 14 healthy control subjects were acquired with a General Electric (Milwaukee, WI, USA) Signa 1.5 Tesla MRI scanner. The other 7 control subjects and all participants with AD had the T1 weighted images acquired on a 3-Tesla General Electric MR750 scanner. MRI acquisition parameters for both scanners have been described in detail elsewhere.45 (link) The PD-weighted and T2 FLAIR scans were visually inspected for evidence of focal and vascular lesions including the presence of white matter hyperintensities, which was determined by following established criteria.46 (link)The PET images were obtained for 125 min following the injection of [18F]-FEPPA using a 3D high-resolution research tomograph brain tomograph (CS/Siemens, Knoxville, TN, USA) as previously described.16 (link) A dose of 181±15 mBq of intravenous [18F]-FEPPA was administered as a bolus for the PET scan. Blood samples were collected for genotyping of TSPO rs6971 polymorphism and for obtaining the arterial input function used for the kinetic analysis of [18F]FEPPA, as previously described.16 (link)
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7

MRI Acquisition Protocol for MIST Task

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MRI scans were acquired on a 3T GE MR750 scanner with an 8-channel head-coil at the Duke-UNC Brain Imaging and Analysis Center. High-resolution T1-weighted images were collected using a 3D fast spoiled-gradient-recalled sequence (TR/TE=8.2/3.22ms; FA=12°; FOV=240×240×166mm2; matrix size=256×256×166; slice thickness=1mm). Functional images during the MIST were acquired using a spiral-in sensitivity encoding interleaved sequence (TR/TE=2000/30ms, FA=60°, FOV=24cm, acquisition matrix=64×64, slice thickness=4mm, 34 slices) (31 (link)).
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8

fMRI Scanning Protocol for Brain Imaging

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All fMRI scanning sessions were completed at the Brain Imaging and Analysis Center at Duke University using a 3 T GE MR750 Scanner. Foam padding was placed inside the head coil to minimize head movement by participants. Each scanning session began with a localizer and a high-resolution T1-weighted structural scan (162 1-mm isotropic slices, TR = 8.16 ms, TE = 3.18 ms), followed by three functional scans using a whole brain, gradient-echo, spiral-in sequence (TR = 2 s, TE = 30 ms, FOV = 240 mm, matrix size = 64 × 64, flip angle = 80°). Slices were acquired in an interleaved fashion (36 3.8 mm axial isotropic slices, slice gap of 0.076 mm). Experimental task instructions were presented using Psychtoolbox software. Each functional task began with eight seconds (4 TRs) of fixation to allow MR scanner stabilization and those timepoints were discarded prior to preprocessing. Participant responses were made on two 4-button response boxes held in each hand. All fMRI analyses were performed on data collected during Session 2.
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9

3T fMRI Preprocessing Pipeline

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Imaging was conducted on a 3.0 Tesla General Electric MR750 scanner (gehealthcare.com) using an 8-channel head coil. fMRI scans used a spiral in/out pulse sequence [46 (link)] with the following parameters: 30 axial slices (3mm thick, 1mm skip) parallel to the AC-PC line and covering the whole brain. TR=2000 msec, TE=30msec, flip angle=90°, FOV=22cm2, 64×64 matrix, in-plane spatial resolution of 3.125mm. Shimming reduced blurring and signal loss from field inhomogeneities.
We conducted image pre-processing using FMRIB Software Library (FSL), www.fmrib.ox.ac.uk/fsl. This included motion correction, skull stripping, spatial smoothing of 5mm full-width/half-maximum Gaussian kernel, mean-based intensity normalization of all volumes by the same factor, and high-pass temporal filtering with 60s cutoff. We did not utilize slice-timing correction in order to avoid interpolation of data. We coregistered functional images of each participant to corresponding structural images in native space (2-step registration, which included a high-resolution T1-weighted 3D inversion recovery spoiled gradient-recalled acquisition scan, as well as a matched-bandwidth Tl-weighted image collected in the same plane as the functional scans), and registered structural images to structural standard images, defined by the Montreal Neurological Institute averaged 152 standard brain.
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10

High-Resolution T1-Weighted MRI Acquisition

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MRI data were acquired on a 3-Tesla General Electric MR750 scanner with a 32-channel head coil. A high-resolution, T1-weighted fast spoiled gradient echo sequence was acquired in the sagittal plane (TR = 7.1 ms; TE = min full; inversion time [TI] = 500 ms; flip angle = 11°; 176 slices; 1.0 mm slice thickness; field of view [FOV] = 25 cm; inplane resolution = 1.0 by 1.0 mm). All images were visually inspected for motion artifacts and ghosting, resulting in the exclusion of 15 participants’ MRI data from analyses. There was no manual editing of imaging data that passed quality control procedures.
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