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Optima 640

Manufactured by GE Healthcare
Sourced in United Kingdom

The Optima 640 is a computed tomography (CT) imaging system produced by GE Healthcare. It is designed to capture high-quality images of the human body for diagnostic and clinical purposes. The Optima 640 utilizes advanced imaging technologies to provide detailed and accurate visualizations of anatomical structures.

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4 protocols using optima 640

1

Validating SPECT Simulation Accuracy

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We conducted our simulations with SIMIND. While SIMIND has been validated for multiple SPECT studies [33 (link)], [42 ], we further validated the accuracy of our simulation approach in the context of α-RPT SPECT. For this purpose, we compared the projection data obtained with our simulation approach to that obtained on an actual scanner. More specifically, we considered a NEMA phantom that was scanned on a GE Optima 640 SPECT system with the HEGP collimator using the procedure as described in more detail in Section III-D. We then modeled this acquisition using our simulation approach. For our simulation, the activity map was designed to simulate the known 223Ra activity concentrations filled in the physical phantom and the attenuation map of the NEMA phantom was derived from the CT scans. Then, we generated the simulated projections using SIMIND, modeling the same acquisition process as described later in Section III-D1. The profiles of the projection data at four angular positions spaced uniformly over 360° obtained with the scanner and that with the simulation approach were compared directly, without any normalization. The match of these profiles, as we see later in the results section, provided evidence of the accuracy of our simulations.
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2

SIRT with 90Y Resin Microspheres

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Clinical data were acquired at the Royal Surrey NHS Foundation Trust in Guildford, UK, using the GE Optima 640 SPECT/CT system for 5 patients who were treated with SIRT with 90 Y resin microspheres (SIR-Spheres). The patient data involved in this study were anonymised. The injected activity was in the range between 1.5 and 2.2 GBq and the SPECT acquisitions lasted 40 min, with 120 20 s projections. The energy window was set between 75 and 225 keV. A medium energy general purpose parallel-hole MEGP collimator was used. The CT image was acquired for attenuation estimation and was used as anatomical image in the HKEM and FHKEM.
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3

SPECT Acquisition Optimization for Low-Activity Alpha-Emitters

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To evaluate vendor, collimator, and device-specific effects on low activity ⍺-emitter SPECT acquisition, we evaluated three dual-head SPECT/CT cameras: a Discovery 670 and an Optima 640 SPECT/CT from GE and a Symbia T6 from Siemens. All the cameras were equipped with their specific set of collimators: MEGP (medium energy general purpose) for GE or MELP (medium energy low-penetration) for Siemens and HEGP (high-energy general purpose) for both vendors. Enclosed in Table 2 and Table 3 are the camera system and collimator characteristics of each unit, respectively.
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4

Evaluating Robustness of 223Ra SPECT/CT Imaging

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We filled both the phantoms with clinically relevant 223Ra activity concentrations as described in the supplementary material. Next, we scanned the NEMA phantoms on a GE Optima 640 SPECT/CT system with a HEGP collimator and the vertebrae phantom in the same system with a medium energy general purpose (MEGP) collimator, with the goal of evaluating the robustness of our method for different collimator configurations. We placed each phantom at the center of the field of view of the γ camera. The photopeak and scatter windows were set as 85 keV ± 20% and 57 keV ± 18%, respectively. Scans were acquired at 60 angular positions spaced uniformly over 360°. The acquisition time at each angular position was set to 30 s, as in clinical studies. The size of the projection at each angular position was 128 × 128 pixels, where the pixel side length was 4.4 mm. A body-contour orbit was used to improve resolution. Corresponding low-dose CT scans were also acquired for each phantom (120 kVp, 10 mA, and 512 × 512). The axial pixel spacing of the CT images was 0.98 mm and the spacing between slices was 5.0 mm. The CT and SPECT scans were registered.
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