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3 t skyra scanner

Manufactured by Siemens
Sourced in Germany

The Siemens 3 T Skyra scanner is a magnetic resonance imaging (MRI) system that operates at a field strength of 3 Tesla. It is designed to capture high-quality images of the human body for diagnostic and research purposes.

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2 protocols using 3 t skyra scanner

1

Multimodal Neuroimaging Protocol for Brain Mapping

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Anatomical (1 mm isotropic voxel) and functional (TR = 2 s; TE = 25 ms; FA = 90°; 3 mm isotropic voxel) MRI data were acquired using a Siemens 3 T Skyra scanner (Siemens Medical Systems, Germany) with a 32-channel head coil at the Hoglund Biomedical Imaging Center of the University of Kansas Medical Center. The AFNI package50 (link) was used for preprocessing and statistical analyses of fMRI data. All participants showed less than 3 voxels of head motion (< 9 mm). We applied slice-time correction, motion correction, spike correction (3dDespike), spatial resampling (3 × 3 × 3 mm) and normalization to the standard Talairach template, Gaussian spatial smoothing (FWHM: 6 mm), and intensity normalization (each voxel’s mean was set to 100).
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2

5D EP-COSI MRI Acquisition Protocol

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The 5D EP-COSI data was acquired on a Siemens 3 T Skyra scanner (Siemens Healthineer, Erlangen, Germany) with a dedicated “receive” 24-channel phase-array breast coil and a body “transmit” coil (FOV: 160 × 160 × 120mm3, 1.5 mL voxel volume, TR/TE were 1500/35 ms), running on VE11C software platform. 64 t1 points sampled were used along F115 (link) with a spectral bandwidth (SW) of 1250 Hz and 512 complex t2 points, and a SW of 1190 Hz along F2. A three-pulse sequence27 (link) was employed before the global water suppression. A non-water suppressed scan with one t1 point was acquired for eddy current phase correction and coil combination28 (link). Two spatial and one spectral dimensions (ky,kz,t1) were non-uniformly sampled with an exponentially-weighted sampling density along t1 and gaussian sampling density along the ky-kz plane for an acceleration factor of 8. The total scan time was 28 min and 48 s.
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