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Discovery iq pet ct scanner

Manufactured by GE Healthcare
Sourced in United States

The Discovery IQ PET/CT scanner is a diagnostic imaging device designed to capture detailed images of the body's internal structures and functions. It combines Positron Emission Tomography (PET) and Computed Tomography (CT) technologies to provide comprehensive information for medical professionals.

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2 protocols using discovery iq pet ct scanner

1

FDG-PET/CT Imaging Protocol

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We used routinely performed FDG–PET/CT studies for this investigation. Patients fasted for at least 6 h before being injected with 4 MBq/kg FDG and then whole-body image acquisition started at 60 min later from the top of the skull to the mid-thigh using a Discovery 610 PET/CT scanner (GE, USA) or Discovery IQ PET/CT scanner (GE, USA). Emission data were acquired for 1–3 min per bed position. Discovery 610 PET images were reconstructed using three-dimensional ordered-subsets expectation–maximization with point-spread function (OSEM + PSF); 3 iterations, 16 subsets with a 4-mm Gaussian filter, a 192 × 192 matrix (2.6 mm/pixel). Discovery IQ PET images were reconstructed using three-dimensional ordered-subsets expectation–maximization with point-spread function (OSEM + PSF); 4 iterations, 12 subsets with a 4-mm Gaussian filter, a 192 × 192 matrix (2.6 mm/pixel).
Whole-body CT scanning proceeded under the following parameters: 120 kV; auto exposure control system (noise level: SD 10); 512 × 512 matrix; beam pitch, 3.75 mm × 16-row mode.
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2

PET/CT Imaging Protocol with BGO Crystals

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In this study, we used a Discovery IQ PET/CT scanner (GE Healthcare, Milwaukee, WI, USA). The detector of this scanner comprised Bi4Ge3O12 (BGO) crystals measuring 6.3 × 6.3 × 30 mm. The transaxial field of view (FOV) was 700 mm, the axial FOV was 260 mm, and 79 axial slices were obtained at the one-bed position. The energy window width was 435–650 keV, and the coincidence time window was 9.5 ns. A matrix size of 192 × 192 and a slice thickness of 3.27 mm were acquired, and the slice overlap between beds was 19 slices. Scattering coincidence correction was performed using a three-dimensional model-based scatter estimation (3D-MBSE) method. This random coincidence method is a single method estimated from the count rate of each detector.
PET images were acquired at 2 min per bed in 3D acquisition mode, and the obtained image data were reconstructed using VUE Point HD and Q. Clear (GE Healthcare) [15 (link)].
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