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Medspec system

Manufactured by Bruker
Sourced in Germany

The MedSpec system is a comprehensive medical imaging platform designed for a wide range of clinical and research applications. It provides high-quality imaging data to support diagnosis, treatment planning, and ongoing patient monitoring.

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4 protocols using medspec system

1

Multimodal Neuroimaging Protocol for Brain Analysis

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A 4T Bruker MedSpec system with Siemens Trio console was used for acquiring MR images (Siemens, Erlangen, Germany). A 3D sagittal magnetization prepared rapid gradient echo sequence was used to acquire T1 data (TR/TE/TI = 2300/3/950 ms, 1 × 1 × 1 mm3), and a 2D axial turbo-spin echo sequence acquired T2 data (TR/TE = 8400/70 ms, 0.9 × 0.9 × 3 mm3). A dual spin echo planar imaging sequence was used to acquire 40 3-mm-thick interleaved slices (no gap) of the diffusion-weighted data (TR/TE = 6000/77 ms, 2 × 2 mm2 in-plane), using six diffusion-encoding directions at b = 800 s/mm2 and one at b = 0 s/mm2. To reduce geometrical distortions, twofold parallel imaging acceleration was applied. Four scans were averaged after acquisition to boost signal-to-noise. Further details of data acquisition have been reported (Kuceyeski et al., 2013 (link); Zou et al., 2017 (link)).
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2

Multimodal MRI Tissue Segmentation and Alignment

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The 4T MR data were acquired on a Bruker MedSpec system; 3D T1-weighted images were obtained with Magnetization Prepared Rapid Gradient imaging (MPR), and 3D T2-weighted images via turbo spin-echo. The 1.5T MRI data were acquired on a Siemens Vision system; MPR and T2-weighted double spin echo images were acquired. The 4T structural images were segmented into GM, WM and cerebrospinal fluid (CSF) using the Expectation Maximization Segmentation (EMS) method (32 (link)) and co-aligned with the SVS volumes of interest for determination of their tissue contribution (i.e., GM, WM, CSF) (33 (link)). The 1.5T structural images were also segmented into total brain GM, WM, and CSF via EMS. Subsequently, volumes for the four major lobes and subcortical regions were calculated and co-registered to the EMS segmentation to obtain GM, WM, and CSF fractions for the preceding regions (34 ). Finally the segmented 1.5T structural images were co-aligned with SI metabolite maps for anatomical localization (e.g., frontal WM) and determination of tissue contributions (i.e., GM, WM, CSF) in the corresponding SI voxels (23 (link), 35 (link)).
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3

Multimodal MRI Tissue Segmentation

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Magnetic resonance imaging (MRI) data were acquired on a 4 Tesla (4T) Bruker MedSpec system; 3D T1-weighted images were obtained with Magnetization Prepared Rapid Gradient (MPR) imaging, and 3D T2-weighted images via turbo spin-echo [see for (Durazzo et al., 2018 (link)) full MRI acquisition details]. The 4T structural images were segmented into grey matter (GM), white matter (WM) and cerebrospinal fluid (CSF) via the Expectation Maximization Segmentation (EMS) method (Van Leemput et al., 1999 (link)) and co-aligned with the SVS volumes of interest for determination of their tissue contribution (i.e., GM, WM, CSF) (Mon et al., 2012 (link); Studholme et al., 2001 ).
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4

4T fMRI Acquisition and Structural MRI

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Gradient echo fMRI signals were acquired using a 4T Bruker MedSpec system with an 8 channel head coil (TR = 3 s, TA = 2 s, TE = 30 ms, matrix = 64 × 64, slices = 24, FOV = 240 mm, voxel size = 3.75 mm × 3.75 mm × 4.0 mm, images = 288). For each subject within the same session, a high-resolution structural MRI image was axially acquired using a whole brain 3D T1-weighted MPRAGE sequence (TR = 2200 ms, TE = 2.56 ms, flip angle = 13°, FOV = 208 × 256 mm, voxel size = 1 mm × 1 mm × 1 mm). Head motion was minimized using foam inserts surrounding each participant’s head. Participants wore earplugs to reduce scanner noise. During each scan, experimental paradigm stimuli were projected onto a screen mounted in the scanner.
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