Ge lightspeed ct scanner

Manufactured by GE Healthcare

Sourced in United States

The GE Lightspeed CT scanner is a computed tomography (CT) imaging system designed to capture high-quality, detailed images of the body's internal structures. The core function of the Lightspeed CT scanner is to rapidly acquire and process multiple x-ray images, which are then reconstructed into cross-sectional views of the scanned area.

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Lab products found in correlation

Eclipse tps, by Agilent Technologies (1 mentions) Clinac ix accelerator, by Agilent Technologies (1 mentions)

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GE Lightspeed (17 citations) LightSpeed CT (16 citations) Lightspeed CT scanner (15 citations) GE scanners (10 citations) CT scanners (7 citations) GE Lightspeed CT (3 citations) GE Lightspeed Scanner (2 citations) Scanners (2 citations) LightSpeed VCT GE Medical Systems CT Scanner (2 citations) GE Lightspeed RT16 CT scanner (2 citations)

7 protocols using ge lightspeed ct scanner

Retrospective Analysis of Lung SBRT VMAT Plans

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Retrospective analysis was performed on 102 clinically implemented and delivered RapidArc‐based VMAT lung SBRT plans. The patients were immobilized in the supine position using Body Pro‐Lok™ platform (CIVCO system, Orange City, IA) with arms above their head. Respiration correlated 4D CT scan was obtained on a GE Lightspeed CT scanner (GE Healthcare, Chicago, IL) at 2.5 mm slice spacing. Average intensity projection (AIP) and maximum intensity projection (MIP) images were generated from four‐dimensional computed tomography (4D CT) scan and exported to Eclipse treatment planning system (TPS) version 11 (Varian Medical Systems, Palo Alto, CA). The two image series were coregistered and internal target volume (ITV) was manually segmented on the MIP image series before transferring over to AIP images for dose computation. PTV was generated with a nonuniform 5 mm margin along axial and 10 mm margin in longitudinal plane to accommodate setup errors. Bilateral lungs, spinal cord, esophagus, heart, great vessels, and ribs were some of the OARs contoured on the AIP following the RTOG protocols 0813/0915.

Desai D., Narayanasamy G., Bimali M., Cordrey I., Elasmar H., Srinivasan S, & Johnson E.L. (2020). Cleaning the dose falloff in lung SBRT plan. Journal of Applied Clinical Medical Physics, 22(1), 100-108.

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Validation of SRS MapCHECK for CyberKnife Treatments

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In order to validate the clinical use of SRS MapCHECK, we used a data set of 46 patients with different pathologies, who were treated at our Institution with the CK device between February 2019 and March 2020. Table 1 resumes the main characteristics of the cases that were selected.
All patients underwent simulation using a GE Lightspeed CT scanner (GE Healthcare, Boston, USA) with a 1.25 mm step.¹³, ¹⁴Radiation oncologists used Eclipse TPS (Varian Medical Systems, Inc., Palo Alto, USA) version 15.6 to contour PTV and OARs, following standard contouring protocols.

Infusino E., Ianiro A., Luppino S., Nocentini S., Pugliatti C, & Soriani A. (2023). Evaluation of a planar diode matrix for SRS patient‐specific QA in comparison with GAFchromic films. Journal of Applied Clinical Medical Physics, 24(8), e13947.

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Chest CT Dataset for 3D GLOW

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This retrospective study was approved by the ethical review board of our institution, and written informed consent to use the images was obtained from all the subjects. We used chest CT images of 450 normal subjects. This dataset contains only 1 scan per subject. These images were scanned at our institution with a GE LightSpeed CT scanner (GE Healthcare, Waukesha, WI, USA). The acquisition parameters were as follows: number of detector rows, 16; tube voltage, 120 kVp; tube current, 50–290 mA (automatic exposure control); noise index, 20.41; rotation time, 0.5 s; moving table speed, 70 mm/s; body filter, standard; reconstruction slice thickness and interval, 1.25 mm; field of view, 400 mm; matrix size, 512 × 512 pixels; pixel spacing, 0.781 mm. We empirically noticed that 3D GLOW fails to learn images if the number of images in the training dataset is not enough. Therefore, in contrast to usual machine learning approaches, we randomly divided the images of the 450 normal subjects into training (384), validation (32), and test datasets (34).

Shibata H., Hanaoka S., Nomura Y., Nakao T., Takenaga T., Hayashi N, & Abe O. (2022). On the Simulation of Ultra-Sparse-View and Ultra-Low-Dose Computed Tomography with Maximum a Posteriori Reconstruction Using a Progressive Flow-Based Deep Generative Model. Tomography, 8(5), 2129-2152.

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CT-based Primary Lung Tumor Delineation

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Planning CT was performed according to standard clinical scanning protocols at our institution with a GE “LightSpeed” CT scanner (GE Medical System, Milwaukee, WI, USA). The most common pixel spacing was (0.93mm, 0.93mm, 2.5mm) for CT. The primary lung tumor was delineated manually on Eclipse (Varian Medical System, Palo Alto, CA, USA). It was first contoured in the abdomen window to identify the boundaries with the chest wall or other soft tissues, then in the lung window to capture the maximum extent in the lung parenchyma. All contours were reviewed by an experienced radiation oncologist (R.H.M).

Coroller T.P., Grossmann P., Hou Y., Rios Velazquez E., Leijenaar R.T., Hermann G., Lambin P., Haibe-Kains B., Mak R.H, & Aerts H.J. (2015). CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma. Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 114(3), 345-350.

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Comparing Dose Calculation Algorithms in CT Phantoms

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By mimicking the experimental set up as shown in Fig. 1, both the Phantoms A and B were scanned using General Electric (GE) LightSpeed CT scanner (GE Healthcare, Waukesha, WI) with 2.5 mm slices. The CT simulation was carried out with the PTW diode and ionization chamber placed inside diode block and chamber block, respectively. The digital imaging and communications in medicine (DICOM) CT datasets of scanned Phantoms A and B were then transferred to the Eclipse TPS. Central axis depth doses calculations in Phantoms A and B were computed by AAA (version 10.0.28) and AXB (version 10.0.28) using identical beam parameters (6 MV X‐ray from Varian Clinac iX accelerator, 100 cm SSD) for 200 monitor units (MUs). In Phantom A, we used a field size of 5×5 cm2, whereas in Phantom B, we used field sizes of 5×5 cm2 and 10×10 cm2. For AXB, we chose dose‐to‐medium option to calculate the dose in the phantoms, and dose calculation grid size of 2.5 mm was used for both the AXB and AAA calculations.

Rana S., Rogers K., Pokharel S, & Cheng C. (2014). Evaluation of Acuros XB algorithm based on RTOG 0813 dosimetric criteria for SBRT lung treatment with RapidArc. Journal of Applied Clinical Medical Physics, 15(1), 118-129.

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Manual Tumor Delineation on Planning CTs

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Planning CTs were acquired according to scanning protocol at our institution using GE “lightspeed” CT scanner (GE Medical System, Milwaukee, WI, USA). Tumor segmentation was performed on radiation therapy planning CTs using Eclipse (Varian Medical System, Palo Alto, CA, USA). The primary tumor site was retrospectively contoured guided by existing treatment planning contours. Using both soft tissues and lung windows, air, vessels, normal tissue or surrounding organs were subsequently excluded from the contours (Figure 1.A). All contours were done manually (T.P.C., V.A., Y.H.), and then all individually verified by an expert radiation oncologist by (R.H.M.).

Coroller T.P., Agrawal V., Narayan V., Hou Y., Grossmann P., Lee S.W., Mak R.H, & Aerts H.J. (2016). Radiomic phenotype features predict pathological response in Non-Small Cell Lung Cancer. Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 119(3), 480-486.

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Dynamic Contrast-Enhanced CT Imaging

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Contrast-enhanced CT was performed with a 16-detector row GE-Lightspeed CT scanner (GE Healthcare). The study subject was placed in the supine position and was injected with 100–150 ml iohexol (350 mg I/ml). The scanning was carried out ranging from diaphragm to the lower edge of horizontal part of duodenum. After unenhanced imaging, dynamic triple-phase contrast enhancement was applied to the subject. After 120-ml contrast medium injection at a flow rate of 3–4 ml/s, the CT acquisitions were obtained at 20–25 s (the arterial phase) and 55–60 s (the portal phase). Images in arterial and portal phases were reconstructed into 2.5-mm slices, and the reconstruction interval was 1.25 mm.

Zhao D., Zhao S., Wang X., Su M., Liu W., Ma Q., Hong J., Gu W., Li J., Liu R., Ning G., Wang J, & Zhang Y. (2018). Clinical and Physiological Characterization of Elevated Plasma Glucagon-Like Peptide-1 Levels (Hyperglipemia) in a Dipeptidyl Peptidase IV Mutation Carrier. Frontiers in Endocrinology, 9, 62.

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