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Syngo mi applications

Manufactured by Siemens

Syngo MI Applications is a suite of software tools designed to support medical imaging processes. It provides a platform for image visualization, analysis, and reporting, catering to the needs of healthcare professionals in medical imaging departments.

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2 protocols using syngo mi applications

1

SPECT/CT Imaging of Radioembolization

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All SPECT/CT images were acquired on the same dual headed SPECT/CT camera (Symbia T16, Siemens Health Care). [99mTc]MAA-SPECT images were acquired using a low energy collimator, 128 × 128 matrix, 120 angles (20 s. per projection) over a noncircular 360° orbit and a 140-keV ± 7.5% photopeak energy window. [166Ho]-SPECT data were acquired using a medium energy collimator, 128 × 128 matrix with 120 angles over a noncircular 360° orbit and a 81-keV ± 7.5% photopeak window. Low-dose CT data were acquired and used to create a CT-derived attenuation map (Syngo MI Applications; Siemens Healthcare). All SPECT/CT images enclosed the entire liver and the basal lung fields. [99mTc]MAA and [166Ho]-SPECT were reconstructed using clinical reconstructions, applying previous protocols [2 (link)].
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2

SPECT/CT Imaging of 99mTc-MAA Liver Uptake

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All patients were scanned on a Symbia T16 SPECT/CT scanner (Siemens) within an hour after the pretreatment angiography with injection of 99m Tc-MAA. SPECT data of the liver were acquired using a low-energy high-resolution collimator, on a 128 • 128 matrix (zoom, 1.23; pixel size, 3.9 • 3.9 mm) with 120 angles (20 s per projection) over a noncircular 360°orbit and a 140-keV 6 7.5% photopeak energy window. Low-dose CT data (110 kVp, 40 mAs, adaptive dose modulation with Siemens CARE Dose 4D) were acquired and reconstructed to a voxel size of 1.27 • 1.27 • 5 mm using a smoothing kernel (B08s; Siemens Healthcare). After a CT-derived attenuation map was created (Syngo MI Applications; Siemens Healthcare), SPECT images were reconstructed using 3-dimensional orderedsubset expectation maximization (Flash 3D; Siemens) with 6 iterations, 8 subsets; 5 mm gaussian smoothing; CT-based attenuation correction; and a window-based scatter correction.
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