1.5 tesla

Manufactured by Siemens

Sourced in Germany

The 1.5 Tesla is a magnetic resonance imaging (MRI) system designed for medical diagnostic applications. It utilizes a 1.5 Tesla static magnetic field to generate high-quality images of the human body. The core function of the 1.5 Tesla is to provide detailed visualization of anatomical structures and physiological processes within the patient, enabling medical professionals to make informed diagnoses and treatment decisions.

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Lab products found in correlation

32 channel head coil, by Siemens (3 mentions) Avanto mri scanner, by Siemens (3 mentions) Eight channel phase array head coil, by Siemens (1 mentions) Statistical package for social science, by IBM (1 mentions)

Close spelling variants of this product

Sonata 1.5 Tesla system MAGNETOM Symphony 1.5 Tesla Sonata 1.5 Tesla scanner Avanto 1.5 Tesla MRI scanner Magnetom Symphony 1.5 Tesla system Magnetom Avanto 1.5 Tesla MRI 1.5 Tesla scanner Avanto 1.5 Tesla scanner Magnetom 1.5-Tesla Magnetom Symphonie 1.5 Tesla

6 protocols using 1.5 tesla

Spleen Volume Assessment in Gaucher Disease using MRI

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Abdominal MRI scans of 1.5 Tesla (Siemens, Munich, Germany) of 30 patients with GD were included in the study. All patients were followed in the Gaucher Unit, Shaare Zedek Medical Center (SZMC), and had an abdominal MRI assessment of spleen volume performed at the Department of Radiology, SZMC, as part of clinical routine practice. The cases included in the study were randomly selected from a cohort of 100 cases. Abdominal MRI scans that had low-quality images due to technical issues, or that included additional abdominal pathologies not related to GD, were excluded from the study.
Picture Archiving and Communication System (PACS) was utilized to extract the axial out-of-phase T1 sequence with DICOM and TIFF image files. The MRI slice thickness was 3 mm. The boundaries of the spleen were marked on the TIFF file images by a radiology resident (A.W.), with the help of a computer science student (M.W.). All MRI scans were anonymized and coded prior to transferring them to the SAMPL Lab. The study was approved by the SZMC IRB; protocol number: 0520-20-SZMC. A waiver was received for the signing of informed consent.

Azuri I., Wattad A., Peri-Hanania K., Kashti T., Rosen R., Caspi Y., Istaiti M., Wattad M., Applbaum Y., Zimran A., Revel-Vilk S, & C. Eldar Y. (2023). A Deep-Learning Approach to Spleen Volume Estimation in Patients with Gaucher Disease. Journal of Clinical Medicine, 12(16), 5361.

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Quantitative MRI Assessment of Iron Concentration

Cited 1 time

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All images were acquired on a 1.5 Tesla (Siemens, Erlangen, Germany) whole body scanner equipped with an eight channel phase array head coil. In all the subjects sagittal T1-weighted images were acquired to locate the prescribed positions of the anterior-posterior commissures (AC-PC). Conventional T1W, T2W images were acquired with MRI slices aligned parallel to the AC-PC line to screen the subjects for other cerebral anatomical abnormalities such as traumatic brain injury and old hemorrhagic infarcts etc. SWI imaging was performed with a 3D spoiled gradient recalled echo sequence with the following parameters: TR/TE: 49/40 ms, flip angle: 20°, slice thickness: 2.1mm, no of slices: 56, FOV: 250×203 mm, matrix size: 260x 320. For the analysis, the images were high-pass filtered by using a low spatial frequency kernel of central matrix size 64×64. The resulting image is the SWI filtered phase image. The filtered phase image served as an indicator of phase variations and hence the concentration of iron. The details of the measurement of iron in the order of μg Fe/g tissue is described elsewhere.^{9 (link),20 (link),21 (link)}. The 3-D FLASH volumetric scans were also acquired for the anatomical localization based on surface landmarks.

Sheelakumari R., Kesavadas C., Varghese T., Sreedharan R.M., Thomas B., Verghese J, & Mathuranath P.S. (2017). Assessment of Iron Deposition in the Brain in Frontotemporal Dementia and Its Correlation with Behavioral Traits. AJNR: American Journal of Neuroradiology, 38(10), 1953-1958.

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Pediatric Intracranial Cysts: MRI Evaluation

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Children who were admitted to the Department of Pedatric Neurology, who had an MRI between 2016-2021 evaluated.
The MRI examination performed using 1.5 Tesla (Siemens) and 3 Tesla (Siemens) unit scanners with pediatric epilepsy protocol. The protocol includes (a) sagittal T1-weighted spin-eco, (b) axial T2-weighted fast spin-echo, (c) coronal oblique fast multiplanar inversion recovery, (d) coronal oblique fast uid-attenuated inversion recovery, (e) axial diffusion (one-shot, spin-echo echoplanar), b=1000 to all directions, (f) axial three-dimensional spoiled gradient. A total of 78 patients underwent an MRI scan. MRI scans applied without the use of contrast material as a routine procedure. In case of suspicious ndings during the scan; Gadolinium was used for further and detailed study.
The MRI scans had been evaluated by the same radiologist. The ones who were diagnosed as primary intracranial cysts had been enrolled in the study. Demographic and clinical ndings had been evaluated from the hospital's database and patients' les.
Statistical Package for Social Sciences (version 17.0; IBM, Armonk, NY) was used for statistical analysis. Chi-square test, Fisher's exact test, and descriptive statistics were used. A p-value of less than 0.05 was accepted as statistically signi cant. The binomial test had been used for the comparison of incidence based on population frequency.

Dirik M.A, & Sanlidag B. (2023). Intracranial cysts: incidental or neurodevelopmental?. Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery, 39(3).

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High-Resolution Brain Imaging with 1.5T MRI

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All data were acquired on a 1.5 tesla Siemens (Siemens Medical Systems, Erlangen, Germany) Avanto MRI scanner with a 32-channel head coil during two runs of approximately 9 min each. During each run, a total of 181 T₂*-weighted echo-planar (EPI) volumes were acquired, covering the whole brain with the following acquisition parameters: slice thickness: 2 mm; repetition time (TR) = 85 ms; echo time (TE) = 50 ms; field of view (FOV) = 192 mm × 192 mm²; 35 slices per volume, gap between slices: 1 mm; flip angle: 90°). A high-resolution, three-dimensional T₁-weighted structural scan was acquired with a magnetisation-prepared rapid gradient echo sequence. Imaging parameters were: 176 slices; slice thickness: 1 mm; gap between slices: 0.5 mm; TE = 2730 ms; TR = 3.57 ms; FOV = 256 mm × 256 mm²; matrix size: 256 × 256; voxel size: 1 × 1 × 1 mm resolution.

McCrory E.J., Puetz V.B., Maguire E.A., Mechelli A., Palmer A., Gerin M.I., Kelly P.A., Koutoufa I, & Viding E. (2017). Autobiographical memory: a candidate latent vulnerability mechanism for psychiatric disorder following childhood maltreatment. The British Journal of Psychiatry, 211(4), 216-222.

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Longitudinal Functional Brain Plasticity After Childhood Maltreatment

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Data across both time points were acquired on the same 1.5 tesla Siemens (Siemens Medical Systems, Erlangen, Germany) Avanto MRI scanner with a 32-channel head coil during two runs of approximately 9 minutes each. All data analyses were conducted using the software package SPM12 (www.fil.ion.ucl.ac.uk/spm/software/) implemented in Matlab 2018. Crosssectional analyses for baseline and follow-up data were carried out using a repeated measures Flexible Factorial Design, while longitudinal data were analysed to test for (group differences in) linear patterns of activation in response to basic and valenced ABM recall with age using the Sandwich Estimator Toolbox for Longitudinal and Repeated Measures Data v2.1.0 (SwE, toolbox for SPM, Guillaume et al., 2014) . Precise details of data acquisition parameters can be found in the supporting information.
Functional brain plasticity following childhood maltreatment 11 2.5 Analyses

Puetz V.B., Viding E., Maguire E.A., Mechelli A., Armbruster-Genç D., Sharp M., Rankin G., Gerin M.I, & McCrory E.J. (2023). Functional brain plasticity following childhood maltreatment: A longitudinal fMRI investigation of autobiographical memory processing. Development and psychopathology, 35(3).

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Neuroimaging Insights into Autobiographical Memory

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Data were acquired on a 1.5 tesla Siemens (Siemens Medical Systems, Erlangen, Germany) Avanto MRI scanner with a 32-channel head coil during 2 runs of approximately 9 minutes each. During each run, a total of 181 T2* weighted echo-planar (EPI) volumes were acquired, covering the whole brain with the following acquisition parameters: slice thickness: 2mm; TR: 85ms; TE: 50ms; FOV: 192 mm x 192 mm2; 35 slices per volume, gap between slices: 1mm; flip angle: 90°). A high-resolution, three-dimensional T1-weighted structural scan was acquired with a magnetization prepared rapid gradient echo sequence. Imaging parameters were: 176 slices; slice thickness = 1 mm; gap between slices = 0.5 mm; echo time = 2730 msec; repetition time = 3.57 msec; field of view = 256 mm x 256mm2; matrix size = 256 x 256; voxel size = 1 x 1 x 1 mm resolution.
Autobiographical memory and latent vulnerability

Puetz V.B., Viding E., Hoffmann F., Gerin M.I., Sharp M., Rankin G., Maguire E.A., Mechelli A, & McCrory E.J. (2021). Autobiographical memory as a latent vulnerability mechanism following childhood maltreatment: Association with future depression symptoms and prosocial behavior. Development and psychopathology, 33(4).

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