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Aera 1.5t scanner

Manufactured by Siemens
Sourced in Germany

The Aera 1.5T scanner is a magnetic resonance imaging (MRI) system manufactured by Siemens. It operates at a field strength of 1.5 Tesla, which is a common field strength for clinical MRI systems. The Aera 1.5T scanner is designed to acquire high-quality images of the human body for medical diagnostic purposes.

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10 protocols using aera 1.5t scanner

1

Evaluating Cardiac Effort in PAH Patients

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This was a single‐center, prospective, observational study at the University of Rochester with IRB approval. Group 1 PAH
18 (link) patients on therapy and with a range of RV function (by echocardiography or right heart catheterization) were recruited from our PHA‐accredited Comprehensive Care Center between 2021 and 2022. Testing included 6MWD
9 without a mask, Cardiac Effort,
15 (link),
16 ,
17 (link) NT‐pro‐BNP, and REVEAL Lite 2 score.
19 (link) MC10 Biostamp nPoint provided continuous electrocardiogram monitoring to calculate Cardiac Effort as previously described, (heart beats during 6MWT)/6MWD).
16 ,
17 (link) cMRI was completed on Siemens Aera 1.5 T scanner within 24 h of 6MWT. A chest radiologist not affiliated with the study team (therefore blinded to walk distance) with expertise in cMRI reported right and left ventricle volumes. Using the MRI manufacturer's software, semi‐automated analysis with contour smoothing in the long axis was performed to obtain volumes. Clinical worsening was defined as need to initiate parenteral prostacyclin or hospitalization for decompensated heart failure; for this report, we censored all individuals 12 months after testing was completed.
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2

Cardiac MRI Imaging Protocol for Infarct Estimation

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Short- and long-axis cine images were acquired at baseline and 2 h after reperfusion. Two different scanners were used for this group. A Philips Achieva 1.5T was used for 7 of 14 animals with the following image parameters: steady-state free precession (SSFP) sequence: repetition time (TR) 3 ms, echo time (TE) 1.5 ms, flip angle 60°, and slice thickness 8 mm with no slice gap. A Siemens Aera 1.5T was used for the other seven animals with the following image parameters; SSFP sequence: TR 2.7 ms, TE 1.2 ms, flip angle 60°, and slice thickness 8 mm with no slice gap. LGEs at the same image planes were acquired for estimation of infarct size. The inversion time was chosen to null remote myocardium. LGE parameters for the Philips Achieva 1.5T scanner were TR 4.1 ms, TE 1.3 ms, flip angle 15°, field of view 122 × 122 mm, pixel size 1.52 × 1.52 mm, no slice gap. LGE parameters for the Siemens Aera 1.5T scanner were TR 2.8 ms, TE 1.2 ms, flip angle 50°, field of view 159 × 154 mm, pixel size 1.41 × 1.41 mm, no slice gap.
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3

Multimodal MRI Acquisition Protocol

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MRI data were acquired with a Siemens Magnetom Aera 1.5 T scanner using a T1‐weighted 3D sequence with the following parameters: TR = 2,650 ms, TE = 106 ms; flip angle = 10°; parallel imaging (mSENSE) acceleration factor = 1.5; acquisition matrix size = 256 × 256; FoV = 260 × 260 mm and slice thickness = 1.1 mm, and 176 contiguous sections. The DWI image was acquired with the same scanner using a diffusion‐weighted 2D sequence with the following parameters: TR = 2,650 ms, TE = 106 ms; flip angle = 90°; acquisition matrix size = 192 × 192; FoV = 229 × 229 mm and slice thickness = 5 mm, three diffusion directions, and 23 contiguous sections.
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4

Multiparametric MRI Liver and Pancreas Protocol

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MRI scans were performed using a Siemens Aera 1.5‐T scanner (Siemens AG, Munich, Germany). For the liver, a single transverse section positioned at the porta hepatis was selected. A Shortened Modified Look‐Locker Inversion and a multiecho‐spoiled gradient echo sequence was performed to quantify liver T1 and iron/fat, respectively. The full liver imaging protocol has been detailed elsewhere (13 (link), 19 (link)). Abdominal water‐ and fat‐separated images were obtained from the two‐point Dixon protocol. This imaging protocol results in a series of consecutive “slabs,” each comprising a contiguous set of sections. The contrasts and brightness of the slabs were adjusted automatically prior to processing the entire acquired volume. PDFF maps of the pancreas were reconstructed from the dedicated pancreas gradient‐recalled echo (GRE) 10‐echo acquisition (echo time [TE]1 = 2.38 milliseconds, ΔTE = 2.38 milliseconds) using a magnitude‐based multipoint water‐fat separation algorithm (20 (link)).
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5

cMRI Imaging Protocol for Repaired Tetralogy of Fallot

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A 1.5 T scanner (at Bambino Gesù Children’s Hospital, we used an Achieva 1.5 T scanner, Philips Medical, Best, The Netherlands, up to 2014, and an AERA 1.5 T scanner, Siemens, Erlangen, Germany afterward; an Achieva 1.5 T scanner, Philips Medical, Best, The Netherlands was used in Naples and a Signa Hdx, General Electric Healthcare, Milwaukee, Wisconsin in Ancona) was used to perform the cMRI examinations, following a study protocol for patients with rToF, as suggested by the literature [23 (link),24 (link)]. The scanner includes cine steady-state free precession sequences to assess volume and function, multiple sequences to assess anatomy, and phase-contrast imaging to measure flow at the pulmonary, aortic valve and both pulmonary arteries.
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6

Cardiac Magnetic Resonance Imaging Protocol

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All CMR scans are performed using a standardized imaging protocol on the Siemens Aera 1.5 T scanner (Siemens Healthineers, Erlangen, Germany). Long-axis balanced steady-state free precession cine images are acquired in the two-, three-, and four-chamber views (acquired voxel size 1.6 × 1.3 × 8.0 mm; 30 phases per cardiac cycle). Short-axis cines extending from the mitral valve annulus to the apex are also acquired (acquired voxel size 1.6 × 1.3 × 8.0 mm; 30 phases per cardiac cycle).
Diffuse interstitial myocardial fibrosis is assessed by myocardial T1 mapping using the modified Look-Locker inversion-recovery sequence. Native T1 map is acquired using a heartbeat scheme of 5(3)3; post-contrast T1 map is acquired 15 min after administration of 0.1 mmol/kg of gadobutrol (Gadovist; Bayer Pharma AG, Germany) using a heartbeat scheme of 4(1)3(1)2.
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7

Cardiac MRI Protocol for Valve Assessment

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MRI examinations were performed on a 1.5 T scanner (AERA 1.5 T scanner, Siemens, Erlangen, Germany), in accordance with previously published imaging protocols [29 (link)]. These included multiple sequences to assess anatomy, cine steady-state free precession sequences for volume and function assessment and phase-contrast imaging to measure flow in the pulmonary valve, aortic valve, and in both pulmonary arteries.
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8

Comprehensive MRI Protocol for Patients

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MRI has performed on an Avanto or Aera 1.5T scanner (Siemens, Erlangen, Germany) or a 3.0 T MRI machine (Siemens Magnetom Verio 3.0 T) with a dedicated phased-array body coil. All patients underwent T1-weighted imaging (T1WI), T2-weighted imaging (T2WI), fat-suppressed T2WI, and contrastenhanced T1WI.
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9

Cerebral MRI-based Volumetric Analysis

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Eligible patients who agreed to undergo cerebral MRI were scanned with a Siemens Aera 1.5T scanner. Cortical reconstruction and volumetric segmentation were performed from T1 weighted volumetric sequences collected in the sagittal plane with the Freesurfer image analysis suite (Freesurfer v7.1.0.), documented and freely available for download online (http://surfer.nmr.mgh.harvard.edu/). Voxels resolution was 1 × 1 × 1, slices=256, FOV=255, TR=2730, TE=2.5, TI=1000, FA=7. White matter hyperintensity (WMH) volumes were derived from the T2-weighted fluid-attenuated inversion recovery sequences collected in the sagittal plane. Voxels resolution was 1 × 1 × 1, slices=256, FOV=256, TR=5000, TE=336, TI=1800. Briefly, WMH masks were created using the Lesion Segmentation Algorithm (LPA, 1) from the Lesion Segmentation Toolbox for SPM12 in MATLAB R2018a. Following an initial segmentation of the FLAIR image, probability maps were binarised using AFNI (2.3, v21.0.15) command 3dcalc. The resulting segmentations were quality-checked for sufficient accuracy, and volumes were calculated using Freesurfer (v7.1) command mri_segstats. Volumes were normalised by intracranial volume.
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10

4DMRI for Lung Imaging

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Ten minutes of free-breathing 4DMRIs were acquired on two volunteers using a Siemens Aera 1.5T scanner. Both volunteers signed an informed consent according to the local IRB regulations.
A navigator-based, retrospectively sorted, 4DMRI approach [19] was adapted and optimised for lung imaging [17] , and allows to capture variable respiratory patterns in contrast to conventional 4DCT [20] . This provided ~80 complete and variable respiratory cycles for each volunteer, consisting of over 700 motion states per volunteer at a temporal resolution of 0.6 s.
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