Magnetom verio syngo

Manufactured by Siemens

Sourced in Germany

The Magnetom Verio Syngo is a magnetic resonance imaging (MRI) system produced by Siemens. It is designed to provide high-quality medical imaging for diagnostic and research purposes. The Magnetom Verio Syngo utilizes a 3 Tesla superconducting magnet and advanced imaging technologies to capture detailed images of the body's internal structures.

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Lab products found in correlation

32 channel head coil, by Siemens (2 mentions) Connectome skyra, by Siemens (1 mentions)

Close spelling variants of this product

Magnetom Verio syngo MR B17 Magnetom Verio syngo MR B19 scanner Verio Syngo Magnetom Verio

7 protocols using magnetom verio syngo

Standardized Infarct Volume Calculation

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All patients underwent standard neurological and general medical evaluation and assessment on the basis of the NIHSS score at 7 days and the modified Rankin scale (mRS) at 90 days after stroke onset.
Magnetic resonance imaging (MRI images were acquired within 72 h of stroke onset on a 3.0 T Magnetom Verio Syngo instrument (Siemens, Munich, Germany). The radiologist used diagnostic workstations with a unisight system for interpretation and measurement of the infarct volume. The analysis was performed blind to the clinical history, physical findings, patient identity, and final diagnostic results. The total infarct volume was calculated on the basis of the infarct size on the diffusion-weighted imaging sequence and then multiplied by the thickness. All image data were standardized according to intracranial cross-sectional area^{18 (link)}. The formula of the volume standardization of cerebral infarction was as follows: infarct volume × mean of intracranial cross-sectional area/intracranial cross-sectional area of patient.

Liu P., Han Z., Ma Q., Liu T., Wang R., Tao Z., Li G., Li F., Zhang S., Li L., Ji X., Zhao H, & Luo Y. (2019). Upregulation of MicroRNA-128 in the Peripheral Blood of Acute Ischemic Stroke Patients is Correlated with Stroke Severity Partially through Inhibition of Neuronal Cell Cycle Reentry. Cell Transplantation, 28(7), 839-850.

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Multimodal MRI Neuroimaging Protocol

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MRI data from the Human Connectome Project (http://www.humanconnectome.org/) were collected on a 3 T Siemens Connectome Skyra, including a T₁-weighted MPRAGE structural scan, resting-state functional MRI and DTI using multiband acquisitions.
MRI data from a separate cohort of TBI patients and healthy control subjects, were acquired using a 3 T Siemens Magnetom Verio Syngo with a 32-channel head coil. Standard clinical MRI was collected. Resting-state functional MRI data were also acquired, alongside a high-resolution T₁-weighted image and DTI (see Supplementary material for details on the acquisition parameters for both cohorts).

De Simoni S., Jenkins P.O., Bourke N.J., Fleminger J.J., Hellyer P.J., Jolly A.E., Patel M.C., Cole J.H., Leech R, & Sharp D.J. (2017). Altered caudate connectivity is associated with executive dysfunction after traumatic brain injury. Brain, 141(1), 148-164.

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Standardized Cerebral Infarct Volume Measurement

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All patients underwent standard neurological and general medical evaluations and assessments using the modified Rankin scale (mRS) and Barthel Index (BI) at admission, and 7 days after stroke onset. MRIs were acquired on a 3.0T Magnetom Verio syngo (Siemens, Germany). Radiologists with over 15 years of experience who were blinded to the clinical histories, physical findings, patient identities, and final diagnostic results used diagnostic workstations with the Unisight system to interpret and measure infarct volumes. The total infarct volume was calculated by the infarct size on the diffusion-weighted imaging sequence and then multiplied by the thickness. All imaging data were standardized by Cross-Sectional Area Intracranial.[13 (link)] The formula of the volume standardization for cerebral infarction is as follows: Infarct volume × mean intracranial cross-sectional area/the intracranial cross-sectional area of the patient.

Zhao H., Li G., Ma Q., Tao Z., Wang R., Fan Z., Feng Y., Ji X, & Luo Y. (2017). MicroRNA-99a-5p in circulating immune cells as a potential biomarker for the early diagnosis of ischemic stroke. Brain Circulation, 3(1), 21-28.

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fMRI Study of Pain Perception

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Each participant underwent MR examination using a 3-T MAGNETOM Verio Syngo MRI scanner (Siemens, Erlangen, Germany) to allow functional T2*-weighted and anatomical T1-weighted image acquisition. Each patient’s head was fixed by tape on the forehead and a sponge on both sides of the face to prevent movement during MR examination. Whole-brain functional images were obtained using gradient echo-planar imaging sequencing, with a 3000-ms repetition time (TR); 30-ms time of echo (TE); 90° flip angle; 216-mm field of view (FOV); and 3 mm × 3 mm × 3-mm voxel resolution. Sampling consisted of 36 slices, 3 mm thick, with no gap, parallel to the anteroposterior commissure line. For each task series, 110 consecutive image volumes were acquired, including a 60-s rest, 30-s insertion (task), and 240-s recovery period.
Before functional data were acquired, anatomical images were obtained using a T1-weighted magnetization prepared rapid acquisition gradient echo (MPRAGE) sequence: (TR/TE/TI=2 500 ms/2.48 ms/900 ms, flip angle = 8°, FOV = 256 × 256 mm², voxel size = 1 mm × 1 mm × 1 mm, 192 slices, no gap).
Each participant was asked to evaluate the maximal pain during the task and the degree of residual discomfort after MR examination using the VAS.

Ariji Y., Kondo H., Miyazawa K., Tabuchi M., Koyama S., Kise Y., Togari A., Gotoh S, & Ariji E. (2018). Orthodontic tooth separation activates the hypothalamic area in the human brain. International Journal of Oral Science, 10(2), 8.

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Multimodal Neuroimaging Protocol for Brain Assessment

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Structural MRI was acquired using a 3 T Siemens Magnetom Verio Syngo scanner with a 32-channel head coil. All participants were scanned using the same acquisition parameters. Structural MRI included a high-resolution T₁-weighted MPRAGE (106 1-mm thick transverse slices, repetition time = 2300 ms, echo time = 2.98 ms, flip angle = 9°, in-plane resolution = 1 × 1 mm, matrix size = 256 × 256, filed of view = 25.6 × 25.6 cm), diffusion weighted imaging (64 directions, b = 1000 s/mm² with four interleaved b = 0 s/mm², echo time/repetition time = 103/9500 ms, 64 contiguous slices, field of view 256 mm, voxel size 2 mm³) and FLAIR to identify focal lesions.

Jolly A.E., Scott G.T., Sharp D.J, & Hampshire A.H. (2020). Distinct patterns of structural damage underlie working memory and reasoning deficits after traumatic brain injury. Brain, 143(4), 1158-1176.

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Multimodal MRI Protocol for Neuroimaging

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Structural MRI was acquired using a 3 T Siemens Magnetom Verio Syngo with a 32-channel head coil. All patients and controls were scanned using the same MRI machine and acquisition parameters. Structural MRI included a high-resolution T₁-weighted MPRAGE (106 1-mm thick transverse slices, repetition time = 2300 ms, echo time = 2.98 ms, flip angle = 9°, in-plane resolution = 1 × 1 mm, matrix size = 256 × 256, field of view = 25.6 × 25.6 cm), diffusion weighted imaging (64 directions, b = 100 s/mm² with four interleaved b = 0 s/mm², echo time/repetition time = 103/9, 500 ms, 64 contiguous slices, field of view 256 mm, voxel size 2 mm³) and FLAIR to identify focal lesions.

Jolly A.E., Bălăeţ M., Azor A., Friedland D., Sandrone S., Graham N.S., Zimmerman K, & Sharp D.J. (2020). Detecting axonal injury in individual patients after traumatic brain injury. Brain, 144(1), 92-113.

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Multimodal Brain Imaging Protocol

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Scanning used a 3T Siemens Magnetom Verio Syngo with a 32-channel head coil. Scanning session for each participant generated a structural high-resolution image T1-weighted MPRAGE image (106 1-mm thick transverse slices, TR = 2300ms, TE = 2.98ms, FA = 9°, inplane resolution = 1x1mm, matrix size = 256x256, field of view = 25.6cmx25.6cm), a diffusion-weighted image (64 directions, b = 1000s/mm², 4 x b0 = 0s/mm², TE/TR = 103/9500ms, 64 contiguous slices, FoV = 256mm, voxel size = 2mm³) and a T2 fluid-attenuated inversion recovery (FLAIR) image for lesion identification. The b0 volume used consequently is an average.

Azor A.M., Sharp D.J., Jolly A.E., Bourke N.J, & Hellyer P.J. (2022). Automation and standardization of subject-specific region-of-interest segmentation for investigation of diffusion imaging in clinical populations. PLOS ONE, 17(12), e0268233.

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