Magnetom prisma fit scanner

Manufactured by Siemens

Sourced in Germany

The Magnetom Prisma Fit is a magnetic resonance imaging (MRI) scanner manufactured by Siemens. It is designed to provide high-quality imaging capabilities for medical diagnostic purposes. The core function of the Magnetom Prisma Fit is to generate detailed images of the body's internal structures using strong magnetic fields and radio waves.

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Lab products found in correlation

32 channel head array coil, by Siemens (1 mentions) 20 channel head coil, by Siemens (1 mentions) E prime, by Psychology Software Tools (1 mentions) 32 channel head coil, by Siemens (1 mentions) Magnetom tim trio, by Siemens (1 mentions) Mr750 scanner, by GE Healthcare (1 mentions) 32 channel nova medical coil, by GE Healthcare (1 mentions)

Close spelling variants of this product

MAGNETOM Prisma-fit 3 T MRI Scanner Magnetom Prisma-fit 3 Tesla MRI scanner MAGNETOM Prisma_fit MRI scanner Magnetom Prisma Fit MAGNETOM Prisma scanner Prisma Fit MAGNETOM Prisma Prisma scanner Magnetom scanner Prisma

14 protocols using magnetom prisma fit scanner

Multimodal Brain Imaging Protocol

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All imaging data were collected on a 3T Siemens Magnetom Prisma Fit Scanner at the Pennsylvania State University’s Social, Life, and Engineering Sciences Imaging Center (SLEIC). Diffusion MR scans were acquired for each participant using a twelve channel headcoil and parameters did not differ between Dennis et al. (2014) (link) and Webb et al. (2018) (TR = 6,700 ms; TE = 93 ms; flip angle = 90 ◦; Field of View = 240 mm; matrix = 128×128; voxel size = 1.9×1.9×3.0mm; 48 axial slices; 20 diffusion-weighted directions; b = 1,000 s/mm²; 1 non-diffusion-weighted reference image).
High-resolution T1 images were collected using MPRAGE sequences for both the studies by Dennis et al. (2014) (link) and Webb & Dennis (2018) , and acquisition parameters were similar between the two studies. In Dennis et al. (2014) (link) structural images were collected using a 2,300 ms TR, 3.41 ms TE, 230 mm field of view, 256² matrix, 160 axial slices, and 0.9 mm slice thickness for each participant. In Webb et al. (2018) , structural images were collected using a 1,650 ms TR, 2.03 ms TE, 256 mm field of view, 256² matrix, 160 axial slices, and 1.0 mm slice thickness for each participant.

Chamberlain J.D., Turney I.C., Goodman J.T., Hakun J.G, & Dennis N.A. (2021). Fornix white matter microstructure differentially predicts false recollection rates in older and younger adults. Neuropsychologia, 157, 107848.

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Functional Neuroimaging of N-back Task

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Data were acquired on a 3 T Siemens MAGNETOM Prisma^FIT Scanner with Tim using a 32-channel head array coil at the University of Southern California Dana and David Dornsife Neuroimaging Center. N-back stimuli were presented on a liquid crystal display monitor (1024 × 768), which participants viewed via a mirror attached to the head coil. Task-associated blood oxygen level-dependent signal was acquired using an echo planar imaging (EPI) sequence (41 interleaved slices, slice thickness = 3 mm, TR/TE = 2000/25 ms, flip angle = 90^∘, FOV = 192 mm, bandwidth = 2520 Hz/Px). Anatomical images were collected using a high-resolution 3D magnetization prepared rapid gradient echo (MPRAGE) sequence (slices = 176 axial, TR/TE = 2300/2.26 ms, bandwidth = 200 Hz/pixel, flip angle = 9^∘, slice thickness = 1.0 mm; FOV = 256 mm).

Herrera A.Y., Velasco R., Faude S., White J.D., Opitz P.C., Huang R., Tu K, & Mather M. (2020). Brain activity during a post-stress working memory task differs between the hormone-present and hormone-absent phase of hormonal contraception. Neurobiology of Stress, 13, 100248.

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Functional MRI Preprocessing for Brain Imaging

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MR images were acquired on a 3 T Siemens MAGNETOM Prisma‐fit scanner (Erlangen, Germany). A high‐resolution T1‐weighted anatomical image (TR/TE/θ = 2530 ms/2.3 ms/7°, FOV = 256 mm, matrix size = 256 × 256, slice thickness = 1 mm, 208 slices) was first acquired for each subject for image registration and localization. Functional images were then acquired using a T2*‐weighted EPI sequence (TR/TE/θ = 2000 ms/30 ms/90°, FOV = 192 mm, matrix size = 64 × 64, slice thickness = 3 mm, 32 slices).
Functional data were preprocessed using the afni_proc.py program in the AFNI software (version 20.1.07), which includes: slice timing correction; head motion correction using realignment on functional volumes; co‐registration of high‐resolution structural image with functional images; non‐linear transformation to Montreal Neurological Institute (MNI) template; functional volumes resampled to 3 × 3 × 3 mm³; volumes with derivative values of a Euclidean Norm (square root of the sum squares) above 0.3 in their six‐dimensional motion parameters were censored in the following analysis, along with its previous volume; spatial smoothing was applied using a Gaussian filter with a full width at half maximum of 6 mm; and functional time series were scaled to percent signal change.

Wu H., Wang D., Liu Y., Xie M., Zhou L., Wang Y., Cao J., Huang Y., Qiu M, & Qin P. (2022). Decoding subject's own name in the primary auditory cortex. Human Brain Mapping, 44(5), 1985-1996.

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Functional Neuroimaging of Pavlovian Conditioning

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Images were acquired using a 3T Siemens MAGNETOM Prisma Fit Scanner with a 20-channel head coil at the Social, Life, and Engineering Sciences Imaging Center (SLEIC). Structural images were collected using a T1-weighted magnetization-prepared rapid acquisition gradient echo (MPRAGE) sequence to acquire 192 slices (0.9 × 0.9 × 0.9 mm voxels). Functional images were collected using a T2*-weighted gradient single-shot blood-oxygen-level-dependent (BOLD) echo planar imaging (EPI) sequence to acquire 33 slices (3 × 3 × 4 mm voxels, TR = 2 s, TE = 25 ms, flip angle = 70°, FoV = 240 × 240, slice gap = 0 mm). Stimuli were generated using E-prime (Psychology Software Tools, Pittsburgh, PA) and projected onto a screen positioned behind the magnet. Participants viewed the screen via a mirror attached to the head coil. Functional images were acquired during the Pavlovian phase and the transfer phase.

Petrie D.J., Chow S.M, & Geier C.F. (2021). Effective Connectivity during an Avoidance-Based Pavlovian-to-Instrumental Transfer Task. Brain Sciences, 11(11), 1472.

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Functional MRI Acquisition Protocol

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Data were collected on a Siemens Magnetom Prisma^fit scanner with a 32-channel head coil. Functional images were acquired using a simultaneous multi-slice EPI sequence (Coronal Slices = 69, Voxel Size = 2 mm³, FOV = 208 mm, TR = 2500 ms, TE = 28 ms, Flip Angle = 75°, Base Resolution = 104, Echo Spacing = 0.67 ms).

Daley R.T., Bowen H.J., Fields E.C., Parisi K.R., Gutchess A, & Kensinger E.A. (2020). Neural mechanisms supporting emotional and self-referential information processing and encoding in older and younger adults. Social Cognitive and Affective Neuroscience, 15(4), 405-421.

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Structural Brain MRI Analysis with FreeSurfer

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T1-weighted MPRAGE scans (1 × 1 × 1 mm isometric voxels) were acquired at the Center for Biomedical and Brain Imaging at the University of Delaware using a 3-Tesla Siemens MAGNETOM Prisma^fit scanner, equipped with a 20-channel head coil for multiband capability. We used standard image processing procedures in the FreeSurfer image analysis software suite (Version 6, http://surfer.nmr.mgh.harvard.edu), including cortical mantle reconstruction and spatial smoothing of 10mm FWHM. Technical details of the FreeSurfer procedures are described elsewhere (Dale, Fischl, & Sereno, 1999 (link); Fischl & Dale, 2000 (link); Fischl et al., 2002 (link), 2004 (link)).

Korom M., Tottenham N., Valadez E.A, & Dozier M. (2021). Associations Between Cortical Thickness and Anxious/Depressive Symptoms Differ by the Quality of Early Care. Development and psychopathology, 35(1), 73-84.

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Multi-shell Diffusion MRI and T1-weighted Imaging

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Axial diffusion MRI data were acquired at 3T using a multi-shell DTI acquisition (SIEMENS Magnetom Prisma Fit Scanner) with the following parameters: 114 diffusion-encoding directions [b values: 500 (6 directions), 1,000 (48 directions), and 2,000 (60 directions) s/mm²; TR/TE: 3,400/71 ms; flip-angle = 90°; matrix: 256 × 256; voxel size 2.0 × 2.0 mm; slice thickness: 2.0 mm; number of averages = 1] and 13 non-diffusion-weighted images (B0 images). Accelerated sagittal T1-weighted (T1-w) anatomical images were acquired using a 3D magnetization-prepared rapid acquisition gradient echo (MP-RAGE) sequence with the following acquisition parameters: repetition time / echo time (TR/TE), 2,300/2.95 ms; acquisition matrix, 208 × 208; voxel size, 1.0 × 1.0 mm; slice thickness, 1.0 mm; flip angle = 9°.

Bergamino M., Schiavi S., Daducci A., Walsh R.R, & Stokes A.M. (2022). Analysis of Brain Structural Connectivity Networks and White Matter Integrity in Patients With Mild Cognitive Impairment. Frontiers in Aging Neuroscience, 14, 793991.

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3D Airway Model of Male Respiratory System

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An MRI scan was performed on a male (47 years old, 79 kg) with a Siemens 3T Magnetom Prisma Fit scanner with the following parameters: scanning sequence = Gradient Recall, sequence variation: Spoiled, slice thickness = 0.5 mm, repetition time = 6.7 ms, and echo time = 3.05 ms. Sample images of the MRI scan are shown in Figure 7a. The DICOM files were imported into a 3D slicer, and airway segmentation of individual anatomical regions of interest was performed by a trained ear, nose, and throat clinician. The segmentation produced a 3D volume computer model, and this was manually refined by reducing the effects of noise and smoothing unrealistic regions. External facial features (e.g., lips) were included to ensure realistic inhalation entering the oral cavity [35 (link)]. To prevent large flow gradients forming at the nasopharynx outlet boundary, an artificial extension (50 mm in length) was added. The final model is shown in Figure 7 with labeled anatomical regions and ten cross-section planes for flow visualization.

Vara Almirall B., Inthavong K., Bradshaw K., Singh N., Johnson A., Storey P, & Salati H. (2022). Flow Patterns and Particle Residence Times in the Oral Cavity during Inhaled Drug Delivery. Pharmaceuticals, 15(10), 1259.

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Multimodal MRI Imaging of MS Patients

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MS patients from first centre underwent MRI scanning at the Neuroimaging Center (NIC), Mainz using a 3T scanner (Magnetom Tim Trio, Siemens, Germany) with a 32-channel head coil. The imaging protocol comprised one sagittal three-dimensional (3D) T₁-weighted (T1w) magnetization prepared rapid gradient echo (MP-RAGE) and a 3D T₂-weighted (T2w) fluid attenuated inversion recovery (FLAIR) sequences with the following acquisition parameters: MP-RAGE—repetition time (TR) = 1900 ms, echo time (TE) = 2.52 ms, inversion time (TI) = 900 ms, flip angle (FA) = 9°, field of view (FoV) = 256 × 256 mm², matrix size = 256 × 256, slice thickness = 1 mm, voxel size = 1 × 1 × 1 mm³; T2w-FLAIR—TR = 5000 ms, TE = 388 ms, TI = 1800 ms, FoV = 256 × 256 mm², matrix size = 256 × 256, slice thickness = 1 mm, voxel size = 1 × 1 × 1 mm³.
Patients from second centre were imaged on a 3T Siemens Magnetom Prisma^fit scanner (Siemens, Germany) with a 20-channel head coil and the following acquisition parameters: sagittal 3D T1w MP-RAGE (TR = 2130 ms, TE = 2.2 ms, TI = 900 ms, FA = 8°, FoV = 256 × 256 mm², matrix size = 256 × 256, slice thickness = 1 mm, voxel size = 1 × 1 × 1 mm³) and sagittal 3D T2w FLAIR (TR = 5000 ms, TE = 389 ms, TI = 1800 ms, FA = 8°, FoV = 256 × 256 mm², matrix size = 256 × 256, slice thickness = 1 mm, voxel size = 1 × 1 × 1 mm³).

Ciolac D., Gonzalez-Escamilla G., Radetz A., Fleischer V., Person M., Johnen A., Landmeyer N.C., Krämer J., Muthuraman M., Meuth S.G, & Groppa S. (2021). Sex-specific signatures of intrinsic hippocampal networks and regional integrity underlying cognitive status in multiple sclerosis. Brain Communications, 3(3), fcab198.

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High-Resolution fMRI Acquisition Protocol

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A SIEMENS's Magnetom Prisma-fit scanner, with 3 Tesla magnet and 64-channel head coil, was used to collect, for each participant, one high-resolution T1-weighted structural image and ten functional acquisition runs each lasting for 8 minutes. In each fMRI run, a multiband gradient-echo echo-planar imaging sequence with acceleration factor of 6, resolution of 2.4×2.4×2.4mm 3 , TR of 850ms, TE of 35 ms and bandwidth of 2582 Hz/Px was used to obtain 477 3D volumes of the whole brain (66 slices; FOV = 210mm). The visual stimuli were projected on an MRI-compatible out-of-bore screen using a projector placed in the room adjacent to the MRI-room. A small mirror, mounted on the head coil, reflected the screen for presentation to the participants. The head coil was also equipped with a microphone that enabled the participants to communicate with the experimenters in between the runs.

Sheikh U.A., Carreiras M, & Soto D. (2021). Neurocognitive mechanisms supporting the generalization of concepts across languages. Neuropsychologia, 153.

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