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Achieva 3.0t whole body scanner

Manufactured by Philips
Sourced in United States

The Achieva 3.0T is a whole-body magnetic resonance imaging (MRI) scanner manufactured by Philips. It operates at a magnetic field strength of 3 Tesla, providing high-quality imaging capabilities. The Achieva 3.0T is designed for clinical use and can be used to acquire images of various anatomical structures within the human body.

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8 protocols using achieva 3.0t whole body scanner

1

Whole-Brain Functional MRI Acquisition Protocol

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MRI data were acquired on a Philips Achieva 3.0T whole-body scanner. A 32-channel receive head coil and MultiTransmit parallel radio frequency transmission was used. Images were acquired using a whole-brain gradient-echo planar imaging (EPI) sequence (repetition time, 2,500 ms; echo time, 27 ms; slice thickness, 3 mm; 45 axial slices; no slice gap; field of view, 240 × 240 mm2; in-plane resolution, 3 × 3 mm; sensitivity-encoding reduction factor, 2.0). Additionally, high-resolution anatomical images (voxel size, 0.7 × 0.7 × 0.7 mm) were acquired using a standard T1-weighted 3D magnetization prepared rapid-acquisition gradient echo sequence. The acquired images were analyzed using SPM12 (https://www.fil.ion.ucl.ac.uk). The preprocessing steps of the images consisted of slice time correction, realignment, spatial normalization to the standard EPI template of the Montreal Neurological Institute (MNI), and spatial smoothing using a Gaussian kernel of 6-mm full-width half-maximum. We investigated for any excessive head motion but head movement did not exceed 3 mm in any participant.
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2

MRI Imaging Protocol for Brain Structure

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All MR imaging was completed at the UBC 3 T MRI Research Centre with a Philips Achieva 3.0 T whole-body scanner (Philips Healthcare, Andover, MD, USA), using an eight-channel sensitivity encoding head coil (SENSE factor = 2.4) and parallel imaging. All participants received a high-resolution three-dimensional T1-weighted anatomical scan (TR = 7.47 ms, TE = 3.65 ms, flip angle θ = 6°, FOV = 256 × 256 mm, 160 slices, 1 mm3 isotropic voxel). A high angular resolution diffusion imaging (HARDI) scan was collected with a single shot echo-planar imaging (EPI) sequence (TR = 7096 ms, TE = 60 ms, FOV = 224 × 224 mm, 70 slices, voxel dimension = 2.2 × 2.2 × 2.2 mm). Diffusion weighting was applied across 60 independent non-collinear orientations (b = 700 s/mm2) along with five un-weighted images (b = 0 s/mm2).
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3

Multimodal Brain Imaging with pCASL

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Imaging was performed on a Philips Achieva 3.0 T whole-body scanner (Best, The Netherlands) and a 32-channel receive head coil. Anatomical images were acquired 60 min after drug administration followed by a resting-state BOLD scan (data reported:16 (link)) and the resting state pseudo-continuous ASL (pCASL) scan (80–100 min after drug administration).
High-resolution T1-weighted anatomical images were collected using a voxel size of 1 × 1 × 1 mm3 (n = 60) or 0.7 × 0.7 × 0.7 mm3 (n = 10). ASL data were acquired using a pCASL sequence with the following parameters: TR = 4400 ms; TE = 20 ms; FOV = 240 × 240 mm2; matrix size = 80, 23 slices with a voxel size = 3 × 3 ×  7 mm, and no gap; gradient echo single shot EPI; SENSE 2.5; post-labeling delay of 1525 ms; label duration: 1650 ms; number of dynamics: 60 (n = 39) or 50 (n = 31). One dynamic consisted of a control and a labeled image, resulting in a total scan time of 4 min 24 s (n = 39) or 3 min 40 s (n = 31).
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4

Multimodal Neuroimaging Protocol for Brain Function

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All MR data were acquired on a Philips Achieva 3.0T whole-body scanner (Best, The Netherlands). Inflatable pillows (Multipad, Pearltec AG, Zurich, Switzerland) were used to increase participant comfort in the scanner and to reduce motion induced artifacts. High-resolution anatomical images (voxel size, 1 × 1 × 1 mm) were acquired using a standard T1-weighted three-dimensional (3D) magnetization prepared rapid gradient echo sequence (MP-RAGE). Each session consisted of a resting state arterial spin labeling perfusion-weighted scan and several task-related blood-oxygen-level-dependent scans [13 (link),16 (link),17 (link)].
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5

fMRI Data Preprocessing Protocol for Neuroimaging Studies

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fMRI data (repetition time/echo time = 2000/30 ms, slice thickness = 4 mm, number of slices = 36, matrix size = 64 × 64, field of view = 240 × 240 mm, flip angle = 90°) were acquired during the task using a PHILIPS Achieva 3.0T whole-body scanner(Amsterdam, Netherlands) at Second Xiangya Hospital. The fMRI data were preprocessed using statistical parametric mapping (SPM12, http://www.fil.ion.ucl.ac.uk/spm). First, the images were realigned to the first image obtained in each session using six-parameter rigid body transformation. Second, all images were spatially normalized to a Montreal Neurological Institute template with affine registration, followed by nonlinear transformation, using a voxel size of 2 × 2 × 2 mm. Finally, the data were smoothed with an 8-mm full width at half maximum Gaussian kernel [36 (link)].
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6

Brain GSH Levels Quantification via MRI

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Brain GSH levels were determined using a Philips Achieva 3.0-T whole-body scanner (Best, The Netherlands) equipped with a 32-channel SENSE phased-array head coil. From each subject, a detailed brain image was first acquired, using a magnetization-prepared rapid gradient echo47 (link) high-resolution T1-weighted sequence (repetition time=6.6 ms, echo time=3.0 ms, flip angle=8°, matrix=256×240, slices =170, and slice thickness=1 mm). Images were evaluated in real-time to select a cubic volume of interest, 4×4×5 cm, centered over the left dorsal putamen at the level of the lentiform nucleus. As CNS GSH concentrations are thought to be reduced in PD, a relatively large voxel size was selected in order to maximize signal to noise. The dorsal putamen was selected as the center of the volume of interest due to its relatively homogenous mix of neurons and astrocytes, and suitable distance from bone and other regions that could compromise signal quality. The voxel was positioned to avoid the skull and, to the extent possible, the left lateral ventricle (Figure 4).
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7

Multimodal MRI Acquisition Protocol

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Magnetic resonance imaging (MRI) data were acquired on a Philips Achieva 3.0T whole-body scanner (Best, The Netherlands). A 32-channel receive head coil and MultiTransmit parallel radio frequency transmission was used. Images were acquired using a whole-brain gradient-echo planar imaging (EPI) sequence (repetition time = 2,500 ms; echo time = 27 ms; slice thickness = 3 mm; 45 axial slices; no slice gap; field of view = 240 × 240 mm2; in-plane resolution = 3 × 3 mm; sensitivity-encoding reduction factor = 2.0). 240 volumes were acquired per resting state scan resulting in a scan duration of 10 mins. Additionally, two high-resolution anatomical images were acquired using T1-weighted and T2-weighted sequences. T1-weigthed images were collected via a 3D magnetization-prepared rapid gradient-echo sequence (MP-RAGE) with the following parameters: voxel size = 0.7×0.7×0.7 mm3, time between two inversion pulses = 3123 ms, inversion time = 1055 ms, inter-echo delay = 12 ms, flip angle = 8°, matrix = 320×335, field of view = 224×235 mm2, 236 sagittal slices. Furthermore T2-weighted images were collected using via a turbo spin-echo sequence with the following parameters: voxel size = 0.7×0.7×0.7 mm3, repetition time = 2500 ms, echo time = 415 ms, flip angle = 90°, matrix = 320×335, field of view = 224×235 mm2, 236 sagittal slices.
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8

Functional MRI Preprocessing Protocol

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Magnetic resonance data were acquired on a Philips Achieva 3.0T whole-body scanner. A 32-channel receive head coil and MultiTransmit parallel radio frequency transmission was used. Images were acquired using a whole-brain gradient-echo planar imaging (EPI) sequence (repetition time = 2430 ms; echo time = 27 ms; slice thickness = 3 mm; 45 axial slices; no slice gap; field of view, 240 × 240 mm 2 ; in-plane resolution, 3 × 3 mm; and sensitivity-encoding reduction factor, 2.0). Additionally, highresolution anatomical images (voxel size, 0.7 × 0.7 × 0.7 mm 3 ) were acquired using a standard T1-weighted 3D magnetization prepared rapid-acquisition with gradient echo sequence. Images were analyzed using SPM12 (www.fil.ion.ucl.ac.uk). Preprocessing consisted of slice time correction, realignment, and spatial normalization to the standard EPI template of the Montreal Neurological Institute (MNI), and spatial smoothing using a Gaussian kernel of 8-mm full-width at half-maximum to meet the statistical requirements of the general linear model (GLM). For the detection and repair of artifacts due to movement during scanning the ArtRepair toolbox was used (http://cibsr.sta nford.edu/tools/human-brain-project/artrepair-software.html).
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