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Achieva x series mri scanner

Manufactured by Siemens

The Achieva X-series MRI scanner is a diagnostic imaging device manufactured by Siemens. It utilizes magnetic resonance imaging (MRI) technology to generate detailed images of the human body. The core function of the Achieva X-series is to capture high-quality, three-dimensional images of internal structures, which can be used by medical professionals for diagnosis and treatment planning.

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3 protocols using achieva x series mri scanner

1

Multisite fMRI Protocol for Investigating Reward Processing

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fMRI data were collected on a 1) 3T Siemens Verio MRI scanner at CWRU, 2) 3T Philips Achieva X-series MRI scanner at CCH, and 3) 3T Siemens Trio MRI scanner at UPMC. An axial 3D magnetization prepared rapid gradient echo (MP-RAGE) sequence (192 axial slices 1 mm thick; flip angle=9°; field of view=256 mm × 192 mm; TR=2300 msec; TE=3.93 msec; matrix=256×192) acquired T1-weighted volumetric anatomical images covering the whole brain. A reverse interleaved gradient echo planar imaging (EPI) sequence (38 axial slices 3.1 mm thick; flip angle=90°; field of view=205 mm; TR=2000 msec; TE=28 msec; matrix=64×64) acquired T2-weighted BOLD images covering the whole cerebrum and most of the cerebellum.
Preprocessing involved realignment, coregistration, segmentation, normalization into a standard stereotactic space (Montreal Neurologic Institute, MNI; http://www.bic.mni.mcgill.ca), and spatially smoothing using a Gaussian kernel (FWHM: 8mm). The detailed preprocessing stream is described in supplemental materials. A two level random-effects procedure was then used to conduct whole brain analyses. At the first level individual whole brain statistical maps were constructed to evaluate the main condition contrasts of interest: win versus control. Movement parameters obtained from the realignment stage of preprocessing served as covariates of no interest.
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2

Multisite fMRI Protocol for Investigating Reward Processing

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fMRI data were collected on a 1) 3T Siemens Verio MRI scanner at CWRU, 2) 3T Philips Achieva X-series MRI scanner at CCH, and 3) 3T Siemens Trio MRI scanner at UPMC. An axial 3D magnetization prepared rapid gradient echo (MP-RAGE) sequence (192 axial slices 1 mm thick; flip angle=9°; field of view=256 mm × 192 mm; TR=2300 msec; TE=3.93 msec; matrix=256×192) acquired T1-weighted volumetric anatomical images covering the whole brain. A reverse interleaved gradient echo planar imaging (EPI) sequence (38 axial slices 3.1 mm thick; flip angle=90°; field of view=205 mm; TR=2000 msec; TE=28 msec; matrix=64×64) acquired T2-weighted BOLD images covering the whole cerebrum and most of the cerebellum.
Preprocessing involved realignment, coregistration, segmentation, normalization into a standard stereotactic space (Montreal Neurologic Institute, MNI; http://www.bic.mni.mcgill.ca), and spatially smoothing using a Gaussian kernel (FWHM: 8mm). The detailed preprocessing stream is described in supplemental materials. A two level random-effects procedure was then used to conduct whole brain analyses. At the first level individual whole brain statistical maps were constructed to evaluate the main condition contrasts of interest: win versus control. Movement parameters obtained from the realignment stage of preprocessing served as covariates of no interest.
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3

Resting-State fMRI Connectivity Analysis

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We collected resting state data on a 1) 3T Philips Achieva X-series MRI scanner at CCH, 2) 3T Siemens Verio MRI scanner at CWRU, and 3) 3T Siemens Trio MRI scanner at UPMC. An axial 3D magnetization prepared rapid gradient echo (MP-RAGE) sequence (192 axial slices 1 mm thick; flip angle=9°; field of view=256 mm × 192 mm; TR=2300 msec; TE=3.93 msec; matrix=256×192) acquired T1-weighted volumetric anatomical images covering the whole brain. A reverse interleaved gradient echo planar imaging (EPI) sequence (38 axial slices 3.1 mm thick; flip angle=90°; field of view=205 mm; TR=2000 msec; TE=28 msec; matrix=64×64) acquired T2-weighted BOLD images covering the whole cerebrum and most of the cerebellum. Participants were instructed to remain still while viewing a fixation cross during a 6-minute resting state image acquisition.
We conducted a seed-based resting state functional connectivity analysis using predominantly Statistical Parametric Mapping software (SPM8; http://www.fil.ion.ucl.ac.uk/spm) related tools. See Supplemental for our analytic approach, which was inspired by a rsfMRI study of amygdala connectivity (Kim et al., 2011 (link)) and previously employed (Chase et al., 2013 ).
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