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Avanto 1.5 tesla mri scanner

Manufactured by Siemens
Sourced in Germany

The Avanto 1.5 Tesla MRI scanner is a medical imaging device manufactured by Siemens. It uses a powerful magnetic field and radio waves to produce detailed images of the human body. The Avanto is capable of performing a variety of diagnostic scans, including those of the brain, spine, and other internal structures.

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9 protocols using avanto 1.5 tesla mri scanner

1

Cardiac MRI Evaluation of STEMI

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CMR scans were performed at day 2 to 7 as well as at 12 weeks following STEMI using a Siemens Avanto 1.5 Tesla MRI scanner with a phased array body coil combined with a spine coil. Gadobutrol contrast (Gadovist, Bayer Schering Pharma AG, Berlin, Germany) was administered intravenously in a dose of 0.1 mmol/kg, and short axis end‐diastolic late gadolinium enhancement images were obtained 10 minutes later. CMR data were analyzed using a validated software (cvi42, Circle Cardiovascular Imaging Inc., Calgary, Canada) as previously described.22, 23 MVO and infarct size were calculated as a percentage of left ventricular mass.
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2

Continuous fMRI Acquisition of Brain Activity

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We employed continuous event-related fMRI, acquiring blood-oxygen-level-dependent (BOLD) images using a Siemens Avanto 1.5-Tesla MRI scanner with a 32-channel head coil. The study involved four runs of 260 echo-planer whole-brain volumes (TR = 3 s; TE = 50 ms; TA = 86 ms; Slice tilt = 25° ± 5°; flip angle = 90°; 3 mm × 3 mm × 3 mm in-plane resolution). Auditory stimuli were delivered via an MR-compatible insert earphone connected to a Sony STR-DH510 digital AV control center. After two functional runs, we obtained high-resolution anatomical images using a T1-weighted magnetization prepared-rapid acquisition gradient echo sequence (176 sagittal slices, TR = 2730 ms; TE = 3.57 ms; flip angle = 7°, acquisition matrix = 224 × 256 × 176, slice thickness = 1 mm, 1 mm × 1 mm × 1 mm).
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3

Siemens Avanto 1.5T MRI Experiment

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A Siemens Avanto 1.5 Tesla MRI scanner was used to collect all images throughout this experiment. A single row four-button button box was used for tasks 1 and 2 with only the two central buttons active so that participants could indicate movements to the left and right.
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4

Analyzing Pulmonary Blood Flow in rTOF

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Retrospective clinical data from seven patients with rTOF were used to study the blood flow in models of the pulmonary bifurcation. Demographic information about each patient is reported in Table 1, with an average age of the population being 26.3 ± 15.7 and the grade of regurgitation fraction varying from moderate to severe. Images of the pulmonary trunk of these patients, used for model reconstruction (Figures 1A,B), were acquired between 2012 and 2017 with a Siemens Avanto 1.5-Tesla MRI scanner (Siemens Healthcare, Erlangen, Germany), using the protocol “3D and Phase contrast” (TE = 2.08 or 2.18 ms, TR = 8.01–32.04 ms, FOV = 240–450 × 250–450 mm, Pixel resolution 192–256 × 192–256, Pixel spacing [1.2500;1.2500] – [1.5625;1.5625]). The scans were acquired with both ECG and respiratory gating. The clinical data include part of the clinical assessment of patients in the Great Ormond Street Hospital for Children, London, UK.
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5

Optimized fMRI Acquisition for Ventral Prefrontal Cortex

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fMRI image acquisition has been described in detail previously [1 (link)]. Briefly, gradient-echo T2*-weighted images were acquired using a Siemens Avanto 1.5 Tesla MRI scanner employing a 32-channel head coil (this head coil improves signal-to-noise ratio up to 3.5 times compared to standard 8- or 12-channel coils [26 (link)]). We collected 36 slices per volume, slice gap 1 mm (2 mm slices; 50% distance factor) (see Table 1). The echo planar imaging (EPI) sequence was highly optimised to minimise ventral prefrontal cortex dropout (for extensive sequence details, see previous work [1 (link),25 (link),27 (link)]): echo time = 50 ms, repetition time/slice = 87 ms, slice thickness = 2 mm, in-plane resolution = 2 × 2 mm. One fieldmap per participant per day was acquired using identical parameters to the EPI scans; for each participant, we also acquired one magnetization-prepared rapid gradient-echo T1-weighted 1 mm isotropic anatomical scan.
We used Statistical Parametric Mapping (SPM12; Wellcome Trust Centre for Neuroimaging, London, UK, www.fil.ion.uck.ac.uk/spm) in Matlab R2015a (for the initial region-of-interest (ROI)-based analyses) and Matlab R2018a (for the PPI analyses). All data were slice-time corrected to account for the long repetition time (TR) (3.132 seconds). Preprocessing was identical to that described previously [1 (link)].
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6

Functional and Structural Brain Imaging Protocol

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Neuroimaging data were acquired using a Siemens Avanto 1.5 Tesla MRI scanner (Siemens, Erlangen, Germany) with 32 channel headcoil and upgraded gradients. Functional imaging involved the acquisition of echo-planar datasets sensitive to BOLD (Blood Oxygen Level Dependent) contrast from axial slices (anterioposterior phase encode direction) tilted 30° from intercommissural plane to minimize T2* signal dropout from orbitofrontal and anterior temporal regions. Thirty-five 3 mm slices with a 0.75 mm interslice gap provided full brain coverage with an in-plane resolution of 3 × 3 mm (TE 42 ms, volume TR 2.620 ms). Following acquisition of the functional dataset, full brain T1-weighted structural scans were acquired from each participant (MPRAGE, 0.9 mm3 voxels, 192 slices, 1160/4.24 ms TR/TE, 300 ms inversion time, 230 × 230 mm2 FOV).
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7

Multimodal Imaging Assessment of IRE Ablation

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CEUS and MRI imaging will take place at baseline, one week and four weeks after IRE ablation in order to assess lesion size and enhancement. Furthermore, this will reveal possible complications and any unexpected abnormalities as a result of the IRE procedure that may affect the final surgery (radical nephrectomy).
Contrast enhanced ultrasound (CEUS) utilizes a contrast agent to increase echogenicity of blood for better visualisation tissue vascularisation. Ultrasound contrast contains 3–5 μm microbubbles surrounded by a phospholipid shell. Early studies have shown promising results for the use of CEUS in the follow-up after cryoablation [26 (link)]. This study uses a Philips iU22 (Philips Healthcare, Bothell, USA) ultrasound device which is optimised for contrast studies, in combination with SonoVue (Bracco, Milan, Italy) a third generation ultrasound contrast agent with a elimination half-life of 6 min [27 ].
MRI will be performed using a Siemens Avanto 1.5 Tesla MRI scanner (Siemens Healthcare, Erlangen, Germany) with a 16-channel body array coil. The MRI protocol will include at least the following sequences: T2-trufi with fat suppression, T1-fl2d contrast enhanced in and out of phase, T2-haste, T1 vibe unenhanced and dynamic series at 30 seconds, 60 seconds, and 15 minutes. As MRI contrast agent Gadovist 1.0 (Bayer Pharma, Leverkusen, Germany) will be used.
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8

Cardiac MRI Imaging with Gating and Breath Hold

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Cardiac MRI studies were performed with breath holding and electrocardiogram gating using either a Signa 1.5 Tesla MRI scanner (General Electric, Milwaukee, WI) or a Siemens Avanto 1.5 Tesla MRI scanner (Siemens, Erlangen, Germany) with an eight‐channel phased array. Short‐axis cine images were acquired using a steady‐state free precession pulse sequence with the following typical parameters: TR 3.6 ms, TE 11.5 ms, flip angle of 45°, 24 views per segment, field of view 35 cm, acquisition matrix 192 × 160, slice thickness 8 mm with no gap, and receiver bandwidth 125 kHz.
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9

Cardiac MRI Evaluation of Myocardial Infarction

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Cardiac MRI scans were obtained at 2–7 days as well as 12 weeks post‐myocardial infarction with a Siemens Avanto 1.5 Tesla MRI scanner, using a phased array body coil combined with a spine coil. Intravenous gadobutrol contrast (Gadovist, Bayer Schering Pharma AG, Berlin, Germany) was administered at a dose of 0.1 mmol/kg and, after 10 minutes, short axis end‐diastolic late gadolinium enhancement images were obtained. All analysis was performed using validated cardiac MRI analysis software (cvi42, Circle Cardiovascular Imaging Inc., Calgary, Canada) as previously described.16
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