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Lightspeed ct

Manufactured by GE Healthcare
Sourced in United States

The LightSpeed CT is a computed tomography (CT) imaging system manufactured by GE Healthcare. It is designed to capture high-quality images of the body's internal structures. The LightSpeed CT utilizes advanced imaging technology to provide fast, efficient, and accurate diagnostic capabilities.

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16 protocols using lightspeed ct

1

Postoperative CT Evaluation of Fracture Reduction

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Plain radiographs and computed tomography scans of the injured hip were performed immediately after surgery. The director of trauma orthopedics reviewed all images to observe whether the posterosuperior screw was IOI. The postoperative computed tomography (both 2D and 3D imaging) results are considered the gold standard because it provided a full range of views of fracture reduction and cannulated screw position12 (link). The postoperative CT images were performed with 16-detector spiral CT scanner (GE Health care, LightSpeed CT, Waukesha, WI), and the scanning parameters were as follows: layer thickness, 0.625 mm; tube voltage, 120 kVp; pitch, 1.375; matrix, 512 × 512.
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2

Multidetector CT Scanning Protocol

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The subjects were scanned by using a multidetector CT scanner (LightSpeed CT; GE Medical Systems, Fairfield, CT, USA) with standard protocol scanning from the iliac crest to the knee. Scanning parameters were 120 kVp, 350 mA, slice thickness was 2.5 mm, and 512×512 matrix in a spiral reconstruction mode with a 36-cm field of view.
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3

Multi-Center CT Imaging Dataset for Disease Analysis

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A total of 54 CT scans of 52 patients from Institution train-A (Huashan North Hospital) were imaged with a 16-section CT scanner (uCT 510, UIH). Six CT scans of 6 patients from Institution train-B (Taizhou People’s Hospital) were imaged with a 16-section CT scanner (LightSpeed CT, GE Medical System). A total of 58 CT scans of 58 patients from Institution train-C (Huashan East Hospital) were imaged with a 64-section CT scanner (Aquilion Prime, Toshiba Medical Systems). In total, 375 CT scans of 197 patients from Institution train-D (Fuyang No. 2 People’s Hospital) were imaged with a 64-section CT scanner (Aquilion 64, Toshiba Medical Systems). Seventy CT scans of 70 patients from Institution train-E (Ma’Anshan No. 4 People’s Hospital) were imaged with a 64-section CT scanner (Siemens Somatom Sensation). A total of 85 scans of 83 patients from Institution test-A were imaged with a 64-section CT scanner (Discovery CT, GE Medical System). A total of 233 scans of 233 cases from Institution test-B were imaged with a 16-section CT scanner (uCT 550, UIH, China). Images were photographed at the lung (window width, 1500 HU; window level, − 500 HU) and mediastinal (window width, 320 HU; window level, 40 HU) windows with 5-mm thickness.
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4

Foot Bone Segmentation from CT Scans

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A computed tomography (CT) scan of each participant's right foot was captured with the participant lying prone with the ankle in a plantarflexed orientation (average resolution: 0.419 mm × 0.419 mm × 0.625 mm, LightSpeed 16, GE Medical Systems, USA). This orientation was chosen to improve the in-plane resolution which aids in the segmentation process. Foot position was maintained during the scan via a custom-made foam support. Two participants received CT scans at a different imaging location (for convenience) and therefore had a different CT protocol (resolution: 0.488 mm × 0.488 mm × 0.312 mm, Optima CT 660, LightSpeed CT, GE Medical Systems, USA). Each bone of the foot was segmented using Mimics17 (Materialize, Leuven, Belgium). The segmentation provided a tessellated 3D surface mesh, as well as, a 3D partial volume for each bone of interest.
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5

Detailed CT Imaging Protocol for Research

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All 28 scans were done on multidetector CT systems. The majority of the CT scans (24 of 28) were performed on a 64-row system (Light speed CT, GE Healthcare, Chicago). Four scans were performed on a 320-row CT system (Aquilion ONE, Toshiba Medical Systems, Japan) due to availability of machines. These 4 scans were performed on 4 different patients (3 preoperative scans and 1 postoperative scan). Scan parameters for the 64-row CT system were 64 × 0.625 mm, 120 kV, 250–750 mA, pitch 0.984, rotation time 0.5 sec, noise index 24, Adaptive Statistical Iterative Reconstruction 30%. Images were consecutively reconstructed with 2.5 mm axial, coronal, and sagittal and 1 mm axial (multiplanar reconstruction) images. Scan parameters for the 320-row CT system were 80 × 0.5 mm, 120 kV, 100–580 mA, rotation time 0.5 sec, SD 7.5, sure exposure 3D and Adaptive Iterative Dose Reduction 3D. Images were consecutively reconstructed with 2 mm axial, coronal, and sagittal and 1 mm axial (multiplanar reconstruction) images. Mean dose length product was 625.46 mGy-cm and mean effective dose estimated to 11.26 mSv based on conversion factor 0.018.
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6

Quantitative CT Imaging of Vertebral Bone

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Each spine segment underwent a QCT scan (LightSpeed CT, GE Healthcare, Cleveland, OH) at a slice thickness of 0.625 mm and an in-plane resolution of either 0.3125×0.3125 (n=59) or 0.3906×0.3906 (n=2) mm/pixel. Scans were performed in the presence of a calcium hydroxyapatite phantom (Image Analysis, Columbia, KY) to allow conversion of Hounsfield Units to mg/cc. Image stacks were interpolated along the axial direction to produce isotropic voxels and rotated in the sagittal plane to make the endplates approximately horizontal. All interpolations were made in MATLAB (MathWorks, Natick MA) using the bi-cubic method (Lehmann, et al., 1999 (link); Meijering, et al., 2001 (link)).
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7

FDG-PET Imaging Protocol for Quality Control

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18F-FDG PET imaging was performed by the Virtual Reality Medical Center, at two different sites in San Diego, CA, USA. At both sites, the FDG-PET images were acquired using a 24 rings General Electric 3D PET/CT device (Discovery ST PET with Light Speed CT), isotropic resolution of 5.99 mm; 15.7-cm axial field of view (FOV); 70-cm transaxial FOV. Following a previously published procedure [12] (link), each FDG-PET image underwent a stringent quality control procedure to assess image quality. We used the FORE-Iterative algorithm to reconstruct images using 48 subsets with five iterations and xy-z filter (cutoff of 4 mm), yielding a 128 × 128 matrix with a pixel size of 1.95 mm (Appendix).
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8

COVID-19 Imaging Examination and Diagnosis

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According to the “COVID-19 Imaging Examination and Diagnosis Quality Control Protocol (interim 3rd edition)”, patients with suspected COVID-19 wore N95 masks or surgical masks during imaging. Before entering the imaging room, their hands were disinfected. The radiology technician wore protective gear, ensured that no other people were present, and stayed within the isolation zone.
Patients adopted a supine position and held their breath. The GE HealthOptima660 and LightspeedCT machines were used for chest CT scans. The scan parameters were set as follows: tube voltage 120 kV, tube current 200 mA, slice interval 5 mm, acquisition slice thickness 0.625 mm, scanning duration <5 s, standard lung window level 530–430 HU, and window width 1400–1600 HU. The mediastinal window level was 35–40 HU and the window width was 300–350 HU. The scanning range was from the entrance of the thoracic cavity to the posterior costophrenic angle. After scanning, the image was evaluated to ensure that the examination was successful and the image quality was sufficient for diagnosis. Chest CT re-examinations were carried out every 5–7 days to assess lesion outcomes.
After imaging of suspected COVID-19 patients, personal protective equipment was removed and appropriate disinfection procedures were followed for equipment and personnel.
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9

Shoulder Joint 3D Imaging Protocol

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A 16-detector spiral CT scanner (GE LightSpeed CT; Waukesha, WI, USA) was used. The thin-slice CT axial images of all participants were input into the computer-aided orthopedics clinical research platform (SuperImage orthopedics edition 1.1, Cybermed Ltd., Shanghai, China) [19 (link),20 (link)]. In this system, the three-dimensional (3D) images of the shoulder joint were reconstructed using a shaded surface display (SSD). In 3D SSD images, the component bones can be distinguished using a 3D interactive and automatic segmentation technique. The different types of bones were labeled with distinct colors. Thus, the proximal humerus image was generated after removing the clavicle, scapula, and other unrelated bones (Figure 1).
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10

Distal Tibiofibular Syndesmosis Imaging Protocol

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The anteroposterior (AP) radiographs of the ankle in a non-weight-bearing position were obtained by experienced technicians working in a foot and ankle specialty clinic. CT scans were performed by a 16–detector CT scanner (GE Light-Speed CT; Waukesha, WI, USA). Imaging parameters for plain scanning images of the normal distal tibiofibular syndesmosis were as follows: section thickness, 0.625 mm; tube voltage, 120 kVp; pitch, 1.375; matrix, 512 × 512. All the data were reviewed retrospectively by a musculoskeletal radiologist and a foot and ankle surgeon, which were saved as DICOM 3.0 format (.dcm).
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