3t prisma system

Manufactured by Siemens

Sourced in Germany

The 3T Prisma system is a magnetic resonance imaging (MRI) scanner designed and manufactured by Siemens. It operates at a magnetic field strength of 3 Tesla, providing high-quality imaging capabilities. The core function of the 3T Prisma system is to generate detailed and precise images of the body's internal structures, enabling healthcare professionals to diagnose and monitor medical conditions.

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Lab products found in correlation

64 channel head neck coil, by Siemens (7 mentions) Trio system, by Siemens (1 mentions) 32 channel head coil, by Siemens (1 mentions) 64 channel head coil, by Siemens (1 mentions) 20 channel head coil, by Siemens (1 mentions) 3t trio system, by Siemens (1 mentions)

Close spelling variants of this product

Prisma (731 citations) 3T Prisma (92 citations) Prisma system (21 citations) 3T Prisma MRI system (17 citations) 3T system (12 citations) MAGNETOM Prisma 3T system (8 citations) MAGNETOM Prisma 3T MRI system (6 citations) 3T Prisma-Fit system (6 citations) PRISMA 3T MR system (5 citations) Magnetom Prisma 3T MR system (4 citations)

27 protocols using 3t prisma system

MRI Scanning of Infants During Natural Sleep

Cited 2 times

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During the first visit, the MRI scanning protocol will be conducted during natural sleep, without sedation, according to established protocols.^{31 (link)} One week before the day of visit, caregivers will receive a compact disc or digital file with a recording of the operating sound of the MRI scanner. The caregivers will be asked to play these sounds while the infants sleep to familiarize them with these noises. During the scanning day, the caregiver will feed the infant and then put the infant to sleep in a separate staging room from the MRI scanner, or rock the baby to sleep in the scanner suite. A memory foam mattress for infants will be used to support them firmly and comfortably on the scanner table. Silicone infant earplugs and customized MRI-compatible headphones will be used for ear protection and to diminish noise during scanning and to promote continued sleep. One investigator will stay with the infant throughout the scanning session to monitor the infants responses, with the caregiver observing the scanning through the control room window. Infant participants will be scanned on a Siemens Prisma 3T system (Waukesha, Wisconsin). The scan protocol will include structural MRI and diffusion-weighted MRI protocols. CST integrity will be quantified using established methods.^{32 (link)} The complete MRI data set will be obtained in less than 38 minutes.

Chen C.Y., Georgieff M., Elison J., Chen M., Stinear J., Mueller B., Rao R., Rudser K, & Gillick B. (2017). Understanding Brain Reorganization in Infants With Perinatal Stroke Through Neuroexcitability and Neuroimaging. Pediatric physical therapy : the official publication of the Section on Pediatrics of the American Physical Therapy Association, 29(2), 173-178.

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Multi-Modal MRI Protocol for Neuroimaging

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All scanning was performed using a Siemens PRISMA 3T system using a 32-channel receive-only radiofrequency head coil. All participants underwent the following sequences: (i) 3D T2 SPACE sequence⁵² where the flip angles of the train of refocusing pulses are optimized to increase the useable echo train duration (TR/TE: 3200/408 ms; voxel size: 1 × 1 × 1 mm³); (ii) 3D SPACE-FLAIR sequence (TR/TE: 5000/388 ms; TI: 1800 ms; voxel size: 1 × 1 × 1 mm³); (iii) 3D T1 MPRAGE (TR/TE: 2300/3 ms; flip angle: 9°; voxel size: 1 × 1 × 1 mm³); and (iv) high angular resolution diffusion imaging (HARDI; 14 b = 0 images; 30 directions at b = 1200 s/mm²; 60 directions at b = 2400 s/mm²; TR/TE: 9400/70 ms; voxel size: 2 × 2 × 2 mm³).

Winter M., Tallantyre E.C., Brice T.A., Robertson N.P., Jones D.K, & Chamberland M. (2021). Tract-specific MRI measures explain learning and recall differences in multiple sclerosis. Brain Communications, 3(2), fcab065.

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Quantifying White Matter Hyperintensities in Cognitive Impairment

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Participants at UCSF and UKy were scanned with the same type of Siemens Prisma 3Tsystem and images were analyzed by the methods described.^{22 (link),23 (link)} All images at both UCSF and UKy were rated for burden of WMH by a board-certified neurologist in addition to being reviewed by a neuroradiologist to rule out other significant abnormalities. WMH volumes were obtained from T2-weighted FLAIR images using visual grading and an automated method for quantification and localization. Total WMH volume was estimated by summing all the voxels classified as WMH and normalized for total intracranial volume. Those with a modified Fazekas score ≥ 2 or with a ratio of WMH volume to total intracranial volume >0.22 were considered to have SCeVD, which included 22 for the CN set and 16 for the pAD/MCI set (Table 1). Those with a modified Fazekas score < 2 or with a ratio of WMH volume to total intracranial volume ≤ 0.22 were considered to be free of significant SCeVD, which included 20 for the CN set and 22 for the pAD/MCI set.

Abner E.L., Elahi F.M., Jicha G.A., Mustapic M., Al-Janabi O., Kramer J.H., Kapogiannis D, & Goetzl E.J. (2020). Endothelial-derived plasma exosome proteins in Alzheimer’s disease angiopathy. FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 34(4), 5967-5974.

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Automated Hippocampal and Amygdalar Subfield Extraction

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MRI data were acquired using a Siemens (Siemens Healthineers, Erlangen, Germany) Prisma 3T system using the Q-body coil for signal transmission with reception on a 32-channel head coil. A T₁-weighted Magnetization PRepAred Gradient Echo (MPRAGE) with 1 mm³ isotropic voxels, 192 × 192 × 192 matrix, TI/TE/TR = 877/2.08/2,000 ms was collected for volume-based morphometry (VBM) and was repeated if significant motion was detected on acquisition (based on recommendation of experienced radiographer).
MPRAGE data were processed using the Freesurfer (v7.1.1, MGH, Harvard) image analysis suite consisting of removal of non-brain tissue (Ségonne et al., 2004 (link)), Talairach transformation, intensity normalization (Sled et al., 1998 (link)), and segmentation (Fischl et al., 2002 (link), 2004a (link),b (link)). Data were further processed to extract hippocampal and amygdala subfields using the automated pipeline in Freesurfer (Iglesias et al., 2015 (link)).

Rifkin-Graboi A., Tsotsi S., Syazwana N., Stephenson M.C., Sim L.W, & Lee K. (2023). Variation in maternal sensitivity and the development of memory biases in preschoolers. Frontiers in Behavioral Neuroscience, 17, 1093619.

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Diffusion MRI Imaging Protocol for Brain Mapping

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Brain scans were acquired at the Ahmanson & Lovelace Brain Mapping Center at UCLA. Thirty-four participants were scanned on a 3T Siemens Trio system with a 32-channel head coil with following parameters: MB factor 3, voxel dimension 1.8 mm³ isotropic, FoV=190 mm, TR=3245ms, TE=84ms, 144 gradient directions and 12 b0’s, 72 slices, flip angle=90°, b-factor= 1000 s/mm². Total scanning time was 8.39 minutes. Another 36 participants underwent scanning after a hardware upgrade to a Siemens Prisma 3T system at the same Center. Diffusion imaging parameters included: MB factor 4, voxel dimension 1.5 mm³ isotropic, FoV=210 mm, TR=3230ms, TE=89.20ms, 98 gradient directions and 7 b0’s, 92 slices, flip angle=78°, b-factor=1500 s/mm². Total scanning time was 11:08 minutes including two acquisitions with anterior-posterior and posterior-anterior phase encoding. Type of acquisition protocol was included in the analyses as a covariate.
A high-resolution T1-weighted structural brain scan was also obtained for co-registration with diffusion images for each participant during the same scanning session using a similar multi-echo MPRAGE sequence on both the Siemen’s Trio and Prisma systems: 176 sagittal slices, 1 mm³ isotropic voxel size, TR=2150, TE=1,74, 3.6, 5.46, and 7.32 ms; FoV=256 mm; 256×256 matrix; TI 1260 ms; FA=7°.

Vlasova R.M., Siddarth P., Krause B., Leaver A.M., Laird K.T., St. Cyr N., Narr K.L, & Lavretsky H. (2018). Resilience and White Matter Integrity in Geriatric Depression. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry, 26(8), 874-883.

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Multimodal Neuroimaging in Parkinson's Disease

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T1‐weighted (structural), FLAIR, DWI, and SWI data were acquired on a Siemens Prisma 3T system with a 64‐channel head/neck coil using the pulse sequence parameters in Table S2. Data were visually inspected after each acquisition to allow individual sequences to be repeated if movement artefacts were identified. Associations with neuropsychological test scores were tested in stable patients for each sequence using methods described in a previous publication.¹⁷ Age and sex were used as covariates in all analyses. Where associations were identified, the analyses were repeated, including UWDRS‐N as a covariate. Additional details on the following methods described are provided in Appendix S1.

Shribman S., Burrows M., Convery R., Bocchetta M., Sudre C.H., Acosta‐Cabronero J., Thomas D.L., Gillett G.T., Tsochatzis E.A., Bandmann O., Rohrer J.D, & Warner T.T. (2022). Neuroimaging Correlates of Cognitive Deficits in Wilson's Disease. Movement Disorders, 37(8), 1728-1738.

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Multimodal 3T Diffusion MRI Acquisition

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Diffusion MRI data were acquired on a Siemens Prisma 3 T system, consisting of three separate acquisitions at b = 700, 1400, and 2100 s/mm², with each acquisition also including four b = 0 s/mm² scans interspersed throughout the multiple diffusion directions, with TR = 4.3 s, TE = 62 ms, matrix size = 96 × 96 × 60 (2.5 × 2.5 × 2.5 mm³ voxel resolution), twofold through‐plane simultaneous multi‐slice acceleration with two field‐of‐view shifts. A 1 mm isotropic T1 anatomical image was also acquired for each participant, with TR/TE/TI = 2500/4.7/1100 ms, flip angle = 7°, FOV = 256 × 256 × 192 mm.

Teller N., Chad J.A., Wong A., Gunraj H., Ji X., Goubran M., Gilboa A., Roudaia E., Sekuler A., Churchill N., Schweizer T., Gao F., Masellis M., Lam B., Heyn C., Cheng I., Fowler R., Black S.E., MacIntosh B.J., Graham S.J, & Chen J.J. (2023). Feasibility of diffusion‐tensor and correlated diffusion imaging for studying white‐matter microstructural abnormalities: Application in COVID‐19. Human Brain Mapping, 44(10), 3998-4010.

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Resting-State fMRI Acquisition and Preprocessing

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Imaging data were collected on a Siemens Prisma 3T system using a 64-channel foam-padded phased array head coil. An HCP-style multiband fMRI sequence was used. A total of four six-minute rs-fMRI runs (504 volumes) were completed; two runs before and two runs after tDCS. Participants were instructed to rest with their eyes open during scanning and were video monitored to ensure they stay awake. Image preprocessing was completed with AFNI software using standard steps (Supplemental Materials).^{74 (link)}

Adams T.G., Cisler J.M., Kelmendi B., George J.R., Kichuk S.A., Averill C.L., Anticevic A., Abdallah C.G, & Pittenger C. (2021). Transcranial direct current stimulation targeting the medial prefrontal cortex modulates functional connectivity and enhances safety learning in obsessive-compulsive disorder: Results from two pilot studies. Depression and anxiety, 39(1), 37-48.

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Whole-Brain fMRI Acquisition Protocol

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BOLD fMRI was acquired with a Siemens Prisma 3T system (Erlangen, Germany) using a whole-brain, single-shot gradient-echo (GE) echoplanar sequence with the following parameters: TR/TE=1000/30ms, FOV=192 mm, matrix=64×64, slice thickness/gap=2.0/0 mm, 78 slices, effective voxel resolution of 2×2×2 mm. RF transmission utilized a quadrature body-coil and reception used a 64-channel head coil. Prior to BOLD fMRI, 5-min magnetization-prepared, rapid acquisition gradient echo T1-weighted image (MPRAGE, TR 2200ms, TE 4.67ms, FOV 240mm, matrix 192×256, effective voxel resolution of 1×1×1mm) was acquired for anatomic overlays of functional data and to aid spatial normalization to standard atlas space.

Allenby C., Falcone M., Wileyto E.P., Cao W., Bernardo L., Ashare R.L., Janes A., Loughead J, & Lerman C. (2019). Neural Cue Reactivity During Acute Abstinence Predicts Short-Term Smoking Relapse. Addiction biology.

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Structural and Functional MRI Imaging Protocol

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All imaging for this study was obtained using a 64-channel head coil on the same Siemens PRISMA 3T system in the Utah Center for Advanced Imaging Research (UCAIR) at the University of Utah. Prior to any analysis, subjects' structural volumes, obtained using an MP2RAGE imaging sequence with 1 × 1 × 1 mm voxel resolution, 5,000 ms TR, and 2.93 ms TE, were realigned to correct for motion between slices, segmented, and registered to MNI space. Pre-processing and analysis of structural and functional imaging data was completed using Statistical Parametric Mapping (SPM12) (26 ) and MATLAB software unless otherwise specified.

Black S.R., King J.B., Mahan M.A., Anderson J, & Butson C.R. (2021). Functional Hyperconnectivity and Task-Based Activity Changes Associated With Neuropathic Pain After Spinal Cord Injury: A Pilot Study. Frontiers in Neurology, 12, 613630.

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