Magnetom trio tim system

Manufactured by Siemens

Sourced in Germany, United States

The MAGNETOM Trio Tim System is a magnetic resonance imaging (MRI) scanner manufactured by Siemens. It is designed to acquire high-quality images of the human body. The system utilizes a 3-Tesla superconducting magnet to generate a strong magnetic field, which is a core component of the MRI technology.

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Lab products found in correlation

Magnetom skyra scanner, by Siemens (3 mentions) Magnetom skyra, by Siemens (2 mentions) 12 channel head coil, by Siemens (2 mentions) Signa lx echospeed system, by GE Healthcare (1 mentions) Magnetom tim trio, by Siemens (1 mentions) Brainpet, by Siemens (1 mentions) Magnetom allegra, by Siemens (1 mentions) 32 channel head coil, by Siemens (1 mentions) 12 channel head matrix coil, by Siemens (1 mentions) Magnetom verio, by Philips (1 mentions) Ingenia, by GE Healthcare (1 mentions) Discovery mr750, by Siemens (1 mentions) Genesis signa, by GE Healthcare (1 mentions) Skyra 3, by Siemens (1 mentions) Primovist, by Bayer (1 mentions) Intera achieva, by Philips (1 mentions) Discovery mr750, by GE Healthcare (1 mentions) Ingenia, by Philips (1 mentions) Matlab r2016a, by MathWorks (1 mentions) Magnevist, by Bayer (1 mentions)

59 protocols using magnetom trio tim system

Cardiac MRI Acquisition Protocol

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Cardiac MR scanning was performed using a whole-body 3.0 T Siemens MAGNETOM Trio Tim system or a MAGNETOM Skyra scanner (Siemens Medical Solutions, Erlangen, Germany). The balanced steady-state free precession cine images were obtained in standard short- and long-axis views at end-expiratory breath-hold. The parameters for the Siemens MAGNETOM Trio Tim system were: temporal resolution,40.35 ms; repetition time/echo time, 3.4/1.3 ms; matrix, 208 × 139; flip angle, 50^◦; field of view, 250 mm × 300 mm; slice thickness, 8 mm; and the number of frames, 25 per cardiac cycle. The parameters for the MAGNETOM Skyra scanner were: temporal resolution, 39.34 ms; repetition time/ echo time 2.8/1.2 ms; flip angle, 38^◦; slice thickness, 8 mm; the field of view, 360 mm × 300 mm; matrix size, 256 × 166; and the number of frames, 25 per cardiac cycle.

Shi R., Yang Z.G., Guo Y.K., Qian W.L., Gao Y., Li X.M., Jiang L., Xu H.Y, & Li Y. (2023). The right ventricular dysfunction and ventricular interdependence in patients with DM: assessment using cardiac MR feature tracking. Cardiovascular Diabetology, 22, 93.

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Acquisition of T1-weighted MRI data

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For the KKI sample, T1-weighted images were acquired using a 3.0-T scanner (Achieva, Philips Healthcare, Best, The Netherlands). Data from 41 children were collected using a 32-channel head coil and data from 80 children were collected using an 8-channel head coil. For the GU sample, T1-weighted images were acquired using a 3.0-T scanner (MAGNETOM Trio Tim System, Siemens Medical Solutions) and a 12-channel head coil. For the NYU sample, T1-weighted images were acquired for NYU using a 3.0-T scanner (MAGNETOM Allegra, Siemens Medical Solutions) and an 8-channel head coil. For the UMD sample, T1-weighted images were acquired using a Siemens 3.0-T scanner (MAGNETOM Trio Tim System, Siemens Medical Solutions) and a 32-channel head coil. Structural scans from UMD consisted of collecting 192 contiguous sagittal slices, voxel size = 0.45 × 0.45 × 0.90 mm, repetition time = 1900 ms, echo time = 2.32 ms, flip angle = 9°, pixel matrix = 512 × 512. Additional information regarding scan parameters and site-specific information for ABIDE II can be found in Di Martino et al.^{35 (link)}, as well as at http://fcon_1000.projects.nitrc.org/indi/abide/.

Yarger H.A., Nordahl C.W, & Redcay E. (2021). Examining associations between amygdala volumes and anxiety symptoms in autism spectrum disorder. Biological psychiatry. Cognitive neuroscience and neuroimaging.

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High-Resolution Structural MRI Acquisition

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Data were collected using a 3.0 Tesla Siemens Magnetom Tim Trio system (Siemens Medical Solutions, Erlangen, Germany) with a 32-channel head coil in the ActiveBrains project and a 3.0 Tesla Siemens Magnetom Tim Trio system (Siemens Medical Solutions, Erlangen, Germany) with a 12-channel head coil in the FITKids2 project. Three-dimensional, high-resolution, T1-weighted images were acquired using a magnetization-prepared rapid gradient-echo (MPRAGE) sequence. In the ActiveBrains project, the parameters were as follows: repetition time (TR) = 2300 ms, echo time (TE) = 3.1 ms, inversion time (TI) = 900 ms, flip angle = 9°, Field of view (FOV) = 256 × 256, acquisition matrix = 320 × 320, 208 slices, resolution = 0.8 × 0.8 × 0.8 mm, and scan duration of 6 min and 34 s. In the FITKids2 project, the parameters were as follows: TR = 1900 ms, TE = 2.32 ms, TI = 900 ms, flip angle = 9°, FOV = 230 × 230 acquisition matrix = 256 × 256, 192 slices, resolution = 0.9 × 0.9 × 0.9 mm, and scan duration of 4 min and 26 s.

Esteban-Cornejo I., Rodriguez-Ayllon M., Verdejo-Roman J., Cadenas-Sanchez C., Mora-Gonzalez J., Chaddock-Heyman L., Raine L.B., Stillman C.M., Kramer A.F., Erickson K.I., Catena A., Ortega F.B, & Hillman C.H. (2019). Physical Fitness, White Matter Volume and Academic Performance in Children: Findings From the ActiveBrains and FITKids2 Projects. Frontiers in Psychology, 10, 208.

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Resting-State fMRI Protocol in Children

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MRI data were collected with a 12-channel coil on a Siemens 3.0-T scanner (MAGNETOM Trio Tim System, Siemens Medical Solutions, Erlangen, Germany). Prior to data acquisition, children completed training in a mock scanner to help them become acclimated to the scanner environment and understand instructions. During the resting-state scan, children were instructed to lie as still as possible with eyes open while watching Inscapes, a movie paradigm designed for collecting “resting-state” fMRI data to reduce pote ntial head motion (Vanderwal et al., 2015 (link)). A total of 210 whole-brain rs-fMRI data were collected using a T2*-weighted gradient-echo echo-planner imaging sequence (TR 2 s, TE 25 ms, slice thickness 3.5 mm, voxel size 3.0 mm × 3.0 mm × 3.5 mm, voxel matrix 64 × 64, flip angle 70°, field of view 192 mm, 36 slices), duration of 7 minutes and 6 seconds. The following high-resolution structural images were acquired with a T1-weighted magnetization prepared rapid gradient echo sequence: TR 1.9s; TE 2.32 ms; slice thickness 0.9 mm with no gap; voxel size 0.9×0.9×0.9 mm; matrix 256×256 mm; flip angle 9°; field of volume 230 * 230 mm, duration of 4 minutes and 26 seconds.

Xiao Y., Geng F., Riggins T., Chen G, & Redcay E. (2018). Neural correlates of developing theory of mind competence in early childhood. NeuroImage, 184, 707-716.

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Longitudinal Brain MRI at Term and 7 Years

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Neonatal MRI brain scans were acquired during natural sleep at TEA using a 1.5T General Electric MRI scanner (Signa LX Echospeed System; General Electric, Fairfield, Connecticut) at the Royal Children’s Hospital, Melbourne, Australia. Coronal T₂-weighted, dual-echo, fast spin-echo images with interleaved acquisition were acquired with slice thickness 1.7 to 3 mm; repetition time 4000 ms; echo times 60 ms (first echo) and 160 ms (second echo); field of view 22 × 16 cm²; matrix 256 × 192 interpolated to 512 × 512.
Follow-up MRI scans were acquired at 7 years using a 3T Siemens MAGNETOM TrioTim system (Siemens, Erlangen, Germany) at the Royal Children’s Hospital, Melbourne, Australia. Sagittal, 3-dimensional, rapid gradient-echo T₁-weighted images were acquired with slice thickness 0.8 mm; repetition time 1900 ms; echo time 2.27 ms; field of view 210 × 210 mm; matrix 256 × 256.

Matthews L., Inder T., Pascoe L., Kapur K., Lee K., Monson B., Doyle L., Thompson D, & Anderson P. (2018). Longitudinal preterm cerebellar volume: perinatal and neurodevelopmental outcome associations. Cerebellum (London, England), 17(5), 610-627.

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Knee Joint MRI Protocol for Cartilage Assessment

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We used a 3.0T MR (Magnetom Trio Tim system, Siemens Healthineers, Erlangen, Germany) for scanning, and an 8-channel flexible surface coil for imaging of the knee joint. Cases were scanned in the supine position, with the knee joint fully extended. In principle, the quadriceps femoris of the examinee should be in a relaxed state, and the knee joint should be in a straight position. The scanning range was from 5 cm above the patella to 5 cm below the tibial plateau, including the patella, the corresponding femoral trochlear, and the tibial tubercle. All relevant parameters of this study were measured on the axial map of MR T2 fat pressure sequence of the knee joint. Each parameter data was measured by two attending physicians (including the author) with rich experience in skeletal muscle imaging diagnosis at the same time. Before the measurement, the examinee was not aware of the presence or absence of CP or the related medical history. The average of the two measurements was taken when the measured values were entered. For some data with objection, after negotiation, the third attending physician repeated the measurement several times and took the mean of similar data.

Kong Y, & Yu H. (2023). A study on the correlation between patellofemoral joint morphology and early patella malacia in young adults: quantitative analysis based on magnetic resonance. Annals of Translational Medicine, 11(2), 48.

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Multiparametric MRI Comparison of MS and NMO

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This study was approved by the institutional review board of Xuanwu Hospital, Capital Medical University, and written informed consent was obtained from all participants. Totally 116 participants were recruited including 78 relapsing–remitting MS and 38 NMO patients. The impact of unbalanced data was comprehensively assessed with metrics including AUC, diagnosis accuracy, sensitivity and specificity. The patients were composed of two cohorts with different MRI protocols as shown in Additional file 1: Table S1. The first cohort included patients from April 2004 to December 2004 who underwent brain scanning on 1.5 T MRI (Sonata; Siemens Medical Systems, Erlangen, Germany) with an 8-channel head coil. The second cohort included patients from November 2009 to April 2014 who had brain scanning on 3 T MRI (Siemens Magnetom Trio Tim System, Munich, Germany). As a proportion of patient cohorts were recruited before the introduction of the new MS and NMO criteria, our diagnosis of MS and NMO was based on the 2010 McDonald criteria, and the revised NMO diagnostic criteria, respectively [16 (link), 17 (link)]. None of these patients had been treated with medications within three months before the MRI was obtained. The demographic and clinical characteristics including Expanded Disability Status Scale (EDSS) score [18 (link)] and Disease Duration of the patients were recorded.

Huang J., Xin B., Wang X., Qi Z., Dong H., Li K., Zhou Y, & Lu J. (2021). Multi-parametric MRI phenotype with trustworthy machine learning for differentiating CNS demyelinating diseases. Journal of Translational Medicine, 19, 377.

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Multisite Structural MRI Acquisition Protocol

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Structural images were obtained using a 3T or 4T MRI system. Sixty-seven participants were scanned at the USC using a 3T General Electric Signal HDx system with an 8-channel head coil. One hundred-one participants were scanned at the UCD research center using a 3T Siemens Magnetom Trio Syngo system with an 8-channel head coil and a 3T Siemens Magnetom TrioTim system with an 8-channel head coil. Thirty-nine participants were scanned at the San Francisco Veterans Administration Medical Center using a 4T Siemens MedSpec Syngo System with an 8-channel head coil. Forty-four participants were scanned at the UCSF Neuroscience Imaging Center using a 3T Siemens Magnetom TrioTim system with a 12-channel head coil. Inter- and intra-reliability tests were run with preliminary experimental subjects on all scanners involved. These subjects were evaluated on each machine twice and their data were processed and analyzed to ensure that the scanners were harmonized across and within sites.

Frazier D.T., Seider T., Bettcher B.M., Mack W.J., Jastrzab L., Chao L., Weiner M.W., DeCarli C., Reed B.R., Mungas D., Chui H.C, & Kramer J.H. (2014). THE ROLE OF CAROTID INTIMA-MEDIA THICKNESS IN PREDICTING LONGITUDINAL COGNITIVE FUNCTION IN AN OLDER ADULT COHORT. Cerebrovascular diseases (Basel, Switzerland), 38(6), 441-447.

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Magnetic Resonance Imaging of Newborn Brain

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Scans of both BCH datasets were acquired using a 3 T MAGNETOM Trio Tim System or a 3 T MAGNETOM Skyra (Siemens Medical, Erlangen, Germany). Multi-echo volumetric magnetization prepared rapid gradient echo (MPRAGE) sequences (van der Kouwe et al., 2008 (link)) with volume navigators (vNav) for motion correction (Tisdall et al., 2012 (link)) (mocoMPRAGE) were obtained in the sagittal plane, at average image resolution of 1 mm³, using a 32-channel adult head coil (see Appendix Table 3 for more acquisition details). BCHneo newborns also had T2-weighted image acquisitions completed in the same sessions. All subjects were imaged during natural sleep, and all images were assessed for quality. Those scans considered unsuitable for segmentation, due to degradation by motion or other artifacts, were not included in above-described cohorts.

Zöllei L., Iglesias J.E., Ou Y., Grant P.E, & Fischl B. (2020). Infant FreeSurfer: An automated segmentation and surface extraction pipeline for T1-weighted neuroimaging data of infants 0–2 years. NeuroImage, 218, 116946.

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High-resolution Multimodal Brain Imaging

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MRI was performed using a 3 T Siemens Magnetom Trio, Tim system. T1-weighted images were acquired with 3D MPRAGE sequences [voxel size = 0.7×0.7×1.2 mm³; coronal slices; echo time (TE)/repetition time (TR) = 2.67/1800 ms; field of view = 230×230 mm; matrix size = 320×320]. Diffusion-weighted images were acquired with echo planar imaging sequences (voxel size = 2.5 mm³; axial slices; TE = 110 ms; field of view = 240×240 mm; matrix size = 96×96) at two gradient strengths: 1. b = 1000 s/mm², 25 gradient directions, TR = 8800 ms; 2. b = 3000 s/mm², 45 gradient directions, TR = 8100 ms.

Kelly C.E., Cheong J.L., Molloy C., Anderson P.J., Lee K.J., Burnett A.C., Connelly A., Doyle L.W, & Thompson D.K. (2014). Neural Correlates of Impaired Vision in Adolescents Born Extremely Preterm and/or Extremely Low Birthweight. PLoS ONE, 9(3), e93188.

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