After the operation, the SIEMENS Syngo workstation (SIEMENS Healthineers, Erlangen, Germany) was used for image post-processing. The angiographic images of the aortic arch were analyzed by Syngo iFlow VC21 of the SIEMENS Artis Zee post-processing workstation. After the ruler was calibrated, the diameters of the right common carotid arteries were measured. The stenosis rate was calculated as the diameter difference of the right CCA before and after balloon injury divided by the diameter of the right CCA before balloon injury. Syngo iFlow VC21 calculated the time interval from the image acquisition to the peak gray value of each point based on the value of each pixel in the digital subtraction angiography (DSA) angiography image, defining the time-to-peak (TTP) to evaluate the speed of local blood flow. Then, the TTP values were measured at the beginning of the right common carotid artery, the proximal 1/3, the distal 1/3, and the bifurcation of the common carotid artery.
Syngo workstation
Manufactured by Siemens
Sourced in Germany, United States
The Siemens Syngo workstation is a software-based platform designed for medical imaging and data analysis. It serves as a centralized interface for managing and processing various medical imaging modalities, including CT, MRI, and PET scans. The Syngo workstation provides tools for image visualization, quantitative analysis, and data management to support clinical decision-making.
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Lab products found in correlation
Siemensmbf software, by Siemens (2 mentions)
Artis zee, by Siemens (1 mentions)
Hirez biograph 16, by Siemens (1 mentions)
Magnetom vision, by Siemens (1 mentions)
Verio 3.0t, by Siemens (1 mentions)
Skyra mri scanner, by Siemens (1 mentions)
Magnetom prisma, by Siemens (1 mentions)
Biograph mct, by Siemens (1 mentions)
Ultrahd algorithm, by Siemens (1 mentions)
Biograph mct pet ct scanner, by Siemens (1 mentions)
Somaton definition, by Siemens (1 mentions)
Syngo mmwp software, by Siemens (1 mentions)
Magnetom verio 3t mr system, by Siemens (1 mentions)
35 protocols using syngo workstation
1
Measuring Carotid Artery Stenosis and Blood Flow
2
XCAT SPECT Cardiac Simulation Study
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A GBP-S study was simulated of the XCAT model using a similar SPECT acquisition protocol as described in section 2.2. Similar to the GBP-P study, the projection data was gated using the functional information associated with the XCAT model. In-house software was used to convert SIMIND output files to Dicom format and to import these to the Siemens Syngo database. The GBP-S study was reconstructed with the Siemens Syngo workstation as explained in Section 2.2. The ventricles were segmented using the reconstructed data with the Cedars-Sinai quantitative blood pool SPECT software "QBS" [36] 36. Van Kriekinge, D. • Berman, D.S. • Germano, G. Automatic quantification of left ventricular ejection fraction from gated blood pool SPECT J Nucl Cardiol. 1999; 6:498-506 Crossref Scopus (0) PubMed Google Scholar available on the Siemens Syngo workstation. Minor adjustments were made to the QBS contours to ensure that the entire ventricle is included. Left ventricular ES and ED volume and EF were obtained using QBS. Due to the known XCAT cardiac ventricle volumes at the ED-and ES phases, the true LVEF was known for the XCAT model. The LV EF and volume values obtained from the XCAT GBP-P and GBP-S simulation studies were compared with the known values to determine the difference using Eq. ( 1). GBP-P and GBP-S calculations of the LVEF were repeated four times to obtain average LVEF values.
3
FDG PET/CT Imaging for Tumor Metabolic Assessment
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2-[18F]FDGPET/CT images were interpreted in consensus by two expert nuclear medicine physicians blinded to biochemical and clinical results, as well as to the results of other imaging procedures. From the attenuation-corrected FDG PET images, the maximum standardized uptake value (SUVmax) of the hottest lesion was obtained in the transaxial view. Further, a volume of interest was drawn using an SUV-based automated contouring program (Syngo Siemens workstation, Siemens Medical Solutions, Princeton, NJ, USA) with an volumetric region of interest based on a 3D isocontour at 41% of the maximum pixel value (SUVmax), as previously recommended [16 (link)]. Total Metabolic Tumor Volume (MTV) was obtained by the sum of MTV values of all patients’ lesions. Total Lesion Glycolysis (TLG) was computed as the sum of TLG of every lesion for each patient (thus corresponding for each patient, to the sum of the VOI average/mean SUV value for each lesion multiplied by corresponding MTV).
4
FDG-PET Imaging Protocol for Bone Lesion Analysis
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FDG-PET was performed according to the European Association of Nuclear Medicine (EANM) Guidelines [24 (link)]. PET/CT scans were performed using a 16-slices PET/CT hybrid system (Hirez-Biograph 16, Siemens Medical Solutions, USA).
FDG-PET images were interpreted in consensus by three expert nuclear medicine physicians (M.B.; M.I.D.; A.M.) blinded to contrast-enhanced CT and bone scan results. From the attenuation corrected FDG-PET images, the maximum standardized uptake value (SUVmax) of the hottest bone lesion was obtained in the transaxial view. Further, a volume of interest was drawn using an SUV-based automated contouring program (Syngo Siemens workstation, Siemens Medical Solutions, USA) with an isocounter threshold based on 40% of the SUVmax, as previously recommended [25 (link)]. Total Metabolic Tumor Volume (MTV) was obtained by the sum of all skeletal and extra-skeletal lesions. Total Lesion Glycolysis (TLG) was calculated as the sum of the product of MTV of each lesion, and the SUVmean value, which, in turn, was automatically calculated within each single MTV.
Aiming to analyze the interobserver variation, a second expert PET reader (S.M.) measured MTV and TLG independently from the first group of observers.
FDG-PET images were interpreted in consensus by three expert nuclear medicine physicians (M.B.; M.I.D.; A.M.) blinded to contrast-enhanced CT and bone scan results. From the attenuation corrected FDG-PET images, the maximum standardized uptake value (SUVmax) of the hottest bone lesion was obtained in the transaxial view. Further, a volume of interest was drawn using an SUV-based automated contouring program (Syngo Siemens workstation, Siemens Medical Solutions, USA) with an isocounter threshold based on 40% of the SUVmax, as previously recommended [25 (link)]. Total Metabolic Tumor Volume (MTV) was obtained by the sum of all skeletal and extra-skeletal lesions. Total Lesion Glycolysis (TLG) was calculated as the sum of the product of MTV of each lesion, and the SUVmean value, which, in turn, was automatically calculated within each single MTV.
Aiming to analyze the interobserver variation, a second expert PET reader (S.M.) measured MTV and TLG independently from the first group of observers.
5
Myocardial Blood Flow Quantification
6
SPECT Image Review Protocol
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Single-photon emission computed tomography data were reviewed on a syngo Workstation (Siemens Healthcare). Two experienced nuclear medicine physicians, who were blinded to other imaging and clinical information, assessed the SPECT images in consensus.
7
Comparison of DSA and DVA Imaging
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Three types of images were generated from the raw radiographic image series during the endovascular procedure, and saved as Digital Imaging and Communication in Medicine (DICOM) files. DSA images were created by the Siemens Syngo workstation in both groups (ND-DSA, LD-DSA), whereas DVA images were generated by the Kinepict Medical Imaging Tool v4.0 (Kinepict Health Ltd., Budapest, Hungary) only in the LD group (LD-DVA1 and LD-DVA2). As DVA images were generated in real-time, the interventional radiologist could see DVA1 images on the operating room monitor immediately after the image acquisition. As DVA2 images were not tested previously, they were not used for diagnosis, and were prepared only for the performance comparison with DVA1.
8
Multimodal Brain Imaging Protocol
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All MR images were obtained with a 1.5-T superconducting system (Magnetom Vision; Siemens Medical Systems, Erlangen, Germany) using a circularly polarized head coil. DWI images and conventional MRI images were obtained in all patients. Sagittal T1-weighted (T1WI) localizing images (TR/TE/NEX, 15/6/1) were acquired first, and then unenhanced axial T1WI and T2-weighted (T2WI) images were obtained in each patient. All conventional sequences were obtained with a 5-mm section thickness and a 1-mm intersection gap. DWI was performed before administration of contrast medium in the transverse plane by using a single-shot SE echo-planar sequence with the following parameters: TR/TE 3100/96 ms, matrix size 128 × 128, FOV 211 mm, slice thickness 5 mm, intersection gap 1.5 mm; diffusion gradient encoding in three orthogonal directions (x, y and, z axes) at b values of 0, 500, and 1000 s/mm2. From these data, ADC maps and values were calculated on a pixel-by-pixel basis by using a Syngo workstation (Siemens, Erlangen, Germany) operating with the regions of interest (ROIs).
9
Quantifying Myocardial Blood Flow from [13N]-NH3 PET
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Myocardial blood flow (MBF) values were calculated from the reconstructed dynamic [13N]-NH3 data using SiemensMBF software (Siemens Medical Solutions, Erlangen, Germany) on a Syngo workstation. The software employs a 2-tissue compartment [13N]-NH3 kinetic model with four parameters (1 vascular volume and 3 transport coefficients) describing extraction and retention of [13N]-ammonia in myocardial tissue.21 After loading data into the software, the program automatically performed segmentations of myocardial walls and also placed a VOI in the left ventricle for determination of an image-derived input function (IDIF). No manual adjustments were made to the automatically segmented volumes. Values of MBF (mL·minute−1·g−1) were assigned to the standardized American Heart Association (AHA) 17-segment model, and vascular territories were defined based on the standard division of the polar map.22 (link)
10
Automated 3D Pulmonary Valve Imaging
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After scanning, the optimal diastolic and systolic images were automatically reconstructed and then uploaded to the Syngo workstation (Siemens healthcare, Erlangen, Germany) (15 ). The pulmonary valve was illustrated at three-dimensional interface through double-oblique multiplanar reformation (MPR) (Figure 1 ).
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