Ge discovery 750 hd

Manufactured by GE Healthcare

Sourced in United States, Germany

The GE Discovery 750 HD is a high-performance medical imaging system designed for a wide range of diagnostic applications. It features a powerful X-ray source and advanced image processing capabilities to provide high-quality images for healthcare professionals.

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Lab products found in correlation

Somatom drive, by Siemens (2 mentions) Ge lightspeed vct, by GE Healthcare (2 mentions) Somatom force, by Siemens (2 mentions) Discovery mr450, by GE Healthcare (1 mentions) Discovery ct750 hd, by GE Healthcare (1 mentions) Somatom emotion 16, by Siemens (1 mentions) Care dose 4d, by Siemens (1 mentions) Umr 780, by United Imaging (1 mentions) Somatom definition flash, by Siemens (1 mentions) Trio 3.0 t scanner, by Siemens (1 mentions) Sensation 64, by GE Healthcare (1 mentions) Syngo via software, by Siemens (1 mentions) Ultravist 370, by Bayer (1 mentions) Xenetix 300, by Guerbet (1 mentions) Ge lightspeed 16, by GE Healthcare (1 mentions) Developer xd, by Definiens (1 mentions) Somatom definition, by Siemens (1 mentions) Ge lightspeed vctxt, by GE Healthcare (1 mentions) Ge revolution, by GE Healthcare (1 mentions)

23 protocols using ge discovery 750 hd

Bi2Se3@AIPH Nanoparticles for In Vivo and In Vitro CT Imaging

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To study the in vitro CT imaging, a series of the Bi₂Se₃@AIPH NPs and iohexol with different concentrations (1, 10, 20, 30, 40, and 50 mg mL⁻¹) was prepared. The CT effect was imaged by a CT imaging system (GE Discovery 750 HD, Tianjin Hospital). The test is under the condition of 200 mA and 120 kV.
To conduct in vivo CT imaging, ICR mice bearing H22 tumors were employed. When the tumor size on the ICR mice reached 120 mm³, the mice were divided into two groups and intratumorally injected with Bi₂Se₃@AIPH NPs and iohexol (10 mg mL⁻¹, 75 μL), respectively. After 20 min, the mice were imaged by a GE Discovery 750 HD medical system. Every group has three mice. What’s more, the mice were intravenously injected with Bi₂Se₃@AIPH NPs (2 mg mL⁻¹, 100 μL); the CT imaging before and after (3, 6, and 24 h) intravenous injection was also studied by the above CT imaging system under the same condition. The data post-process was in the same parameter condition including window width and window position.

Li X., Liu Y., Fu F., Cheng M., Liu Y., Yu L., Wang W., Wan Y, & Yuan Z. (2019). Single NIR Laser-Activated Multifunctional Nanoparticles for Cascaded Photothermal and Oxygen-Independent Photodynamic Therapy. Nano-Micro Letters, 11, 68.

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Multimodal Imaging Protocols for Diagnosis

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Diagnostic imaging included X-ray, computed tomography (CT) and magnetic resonance imaging (MRI). X-ray imaging was performed by digital radiography, and the CT scans were performed on either a GE (GE Lightspeed VCT, 64 slice, GE LightSpeed Pro, 32 slice, GE Discovery 750HD, General Electrics, Milwaukee, WI, USA) or a Siemens (SIEMENS Definition Flash Siemens AG, 128 slice) scanner. MRI scans were performed on a 1.5 T MR scanner (Discovery MR450, General Electrics, Milwaukee, WI, USA). The MRI image sequences were T1, T2 and STIR, of which at least one sequence was axial on the bone involved; contrast was only given in cases of soft tissue involvement, which was decided in each case by a radiology specialist. Bone scintigraphy (BS), single photon emission computed tomography CT (SPECT/CT), 18F-fluorodeoxyglucose positron emission tomography (FDG-PET/CT) and ultrasound (US) were excluded due the low number of combinations of those with another.

Lange M.B., Petersen L.J., Lausen M., Bruun N.H., Nielsen M.B, & Zacho H.D. (2022). Influence of Prior Imaging Information on Diagnostic Accuracy for Focal Skeletal Processes—A Retrospective Analysis of the Consistency between Biopsy-Verified Imaging Diagnoses. Diagnostics, 12(7), 1735.

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Chest CT Scoring for Lung Disease

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Chest CT was performed on two multidetector CT scanners: Siemens Somatom Drive (Siemens Healthineers, Erlangen, Germany), and a GE Discovery 750 HD (GE Healthcare, Milwaukee, MI). All patients underwent CT scanning of the chest in the supine position during end-inspiration. Slice thickness for all scanners was between 0.625 and 1.25 mm. HD lung (GE Healthcare) kernel, pulmonary Br59F kernel (Siemens Healthineers) were applied. The chest CT scans were performed on clinical indication (diagnosis, non-resolving-, or worsening clinical picture) and evaluated by a radiologist blinded for lung ultrasound results. The radiologists in the Netherlands determined a CT-SS based on a previously validated study in severe acute respiratory syndrome [24 (link)]. The five lobes of the lung were each scored for involvement with ground glass or consolidation: 0% (0 points), 1–5% (1 point), 5–25% (2 points), 25–50% (3 points), 50–75% (4 points), or > 75% (5 points). Data on the CT-SS, ranging from 0 to 25, was collected from the radiology report. A CT-SS ‘involvement index’ (CTSI), with 0% representing no involvement, and 100% representing > 75% involvement on all five lobes, was also calculated for the CT-SS (CTSI).

Heldeweg M.L., Lopez Matta J.E., Haaksma M.E., Smit J.M., Elzo Kraemer C.V., de Grooth H.J., de Jonge E., Meijboom L.J., Heunks L.M., van Westerloo D.J, & Tuinman P.R. (2021). Lung ultrasound and computed tomography to monitor COVID-19 pneumonia in critically ill patients: a two-center prospective cohort study. Intensive Care Medicine Experimental, 9, 1.

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Triphasic Abdominal CT Imaging Protocol

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Triphasic abdominal CT was performed on the GE Discovery 750HD Single-source Dual Energy CT scanner (Discovery CT 750HD; GE Healthcare, Milwaukee, WI). Non-ionic iodinated contrast material (100 ml, iodine concentration, 400 mg/ml) was injected through an 18 to 20-gauge antecubital intravenous cannula at the rate of 4 ml/s. Scans were acquired in the hepatic arterial, portal venous and hepatic venous phases using a Smart Prep Protocol with enhancement threshold set at 100 HU. The following examination parameters were used: detector coverage – 40 mm, table speed – 98.43 mm/s, rotation time – 0.6 s, pitch and speed of 0.984, section thickness – 1.5 mm, reconstruction interval – 5-mm, 100–120 kVp and 200–360 mA. Additional images were reconstructed with 0.625 mm reconstruction intervals for detailed interpretation.

Sureka B., Singh V.P., Rajesh S.R., Laroia S., Bansal K., Rastogi A., Bihari C., Bhadoria A.S., Agrawal N, & Arora A. (2017). Computed Tomography (CT) and Magnetic Resonance (MR) Findings in Xanthogranulomatous Cholecystitis: Retrospective Analysis of Pathologically Proven 30 Cases – Tertiary Care Experience. Polish Journal of Radiology, 82, 327-332.

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Chest CT Scanning Protocols Comparison

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Site A: Using standard-of-care department protocol, all non-contrast chest CT examinations were performed on one of the following scanners: 64–92-detector-row, dual-source CT (Siemens Definition or Force, Siemens Healthineers, Forchheim, Germany), 64-detector-row, single-source CT (Siemens Definition Edge), and GE Discovery 750 HD (GE Healthcare, Waukesha, Wisconsin, USA). The scan factors included 100–120 kV, automatic exposure control (CARE Dose 4D, Siemens: quality reference mAs of 100; Auto mA, GE: 25–35 noise index), 0.9–0.984:1 pitch, and 0.5-s gantry rotation time. Images were reconstructed with iterative reconstruction techniques (Admire, Siemens: iterative reconstruction strength of 2 for section thickness of 1 mm; ASIR, GE: 40% strength of iterative reconstruction technique for section thickness of 1.25 mm).
Site B: All non-contrast chest CT examinations were performed in accordance with the standard of care protocol with a 16-slice, multidetector-row CT scanner (Siemens SOMATOM Emotion 16, Siemens Healthineers, Forchheim, Germany). The scan factors included 110–130 kV, 30–50 mAs (with fixed tube current), 1.5:1 pitch, 16 × 1.2 mm detector configuration, and 1-s gantry rotation time. Filtered back projection reconstruction images with 2-mm section thickness and B20f (standard soft tissue) kernel were used for image analyses.

Homayounieh F., Bezerra Cavalcanti Rockenbach M.A., Ebrahimian S., Doda Khera R., Bizzo B.C., Buch V., Babaei R., Karimi Mobin H., Mohseni I., Mitschke M., Zimmermann M., Durlak F., Rauch F., Digumarthy S.R, & Kalra M.K. (2021). Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome. Journal of Digital Imaging, 34(2), 320-329.

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Volumetric CT Analysis of Liver

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Abdominal CT was performed before liver resection (baseline) and on postoperative days (POD) 1 and 30. CT scans were performed using the GE Discovery 750hd (128 slices) system (GE HealthCare, Chicago, Illinois USA). Liver volume was calculated using Philips IntelliSpace Portal Image and Information Management Software, Liver volume, and segmentation analysis package, Version 12.1 2020 (Philips Medical Systems, The Netherlands).

Račkauskas R., Lukšaitė-Lukštė R., Stulpinas R., Baušys A., Paškonis M., Kvietkauskas M., Sokolovas V., Laurinavičius A, & Strupas K. (2024). The Impact of Chemotherapy and Transforming Growth Factor-β1 in Liver Regeneration after Hepatectomy among Colorectal Cancer Patients. Journal of Personalized Medicine, 14(2), 144.

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Standardized 3T MRI Protocol for Gastrointestinal Imaging

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All examinations are performed on one of four 3.0 T MR scanners (GE Discovery 750HD, GE Healthcare; Siemens MAGNETOM Skyra (2 sets), Siemens AG; uMR 780, United Imaging Healthcare). All patients underwent pre-scan preparation as recommended by the European Society of Gastrointestinal and Abdominal Radiology (ESGAR) and European Society of Pediatric Radiology (ESPR) [17 (link)]; that is, fasting for 4–6 h before the scan and drinking 1000–1500 mL of 2.5% aqueous mannitol solution regularly within 30–45 min before the scan. To minimize bowel peristalsis, 10 mg anisodamine was orally administered 30 min before the examination to patients without contraindications, including glaucoma and prostatic hypertrophy. Additionally, routine MRE sequences were consistent with those suggested by ESGAR/ESPR, as shown in the Additional file 1: Table S1.

Zhou Z., Xiong Z., Shen Y., Li Z., Hu X, & Hu D. (2021). Magnetic resonance imaging-based body composition is associated with nutritional and inflammatory status: a longitudinal study in patients with Crohn's disease. Insights into Imaging, 12, 178.

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ARDS Patient CT Imaging Analysis

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CT data from one patient diagnosed with ARDS, acquired at the Amsterdam
University Medical Centre (AUMC) in Amsterdam, The Netherlands was analyzed for
comparison with the pulmonary edema modeling. CT Images were acquired supine at
end-inspiration under mechanical ventilation on a GE Discovery 750HD scanner (GE
Healthcare, Milwaukee, WI) using the following acquisition parameters: 120kVp,
200mA, slice thickness 1.25mm, helical scan, and reconstructed to an in-plane
pixel size of 0.703 x 0.703 mm.

Puliyakote A.S., Holverda S., Sá R.C., Arai T.J., Theilmann R.J., Botros L., Bogaard H.J., Prisk G.K, & Hopkins S.R. (2021). Prone Positioning Redistributes Gravitational Stress in the Lung Under Normal Conditions and in Simulations of Edema. Experimental physiology, 107(7), 771-782.

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Comprehensive Abdominal CT Imaging Protocol

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All patients underwent a routine preoperative abdominal CT scan performed on a GE Discovery 750 HD (GE Healthcare, Milwaukee, WI) multidetector scanner. The parameters for CT imaging were as follows: tube voltage, 120–140 kV; tube current, 220–300 mAs; detector collimation, 0.625×64 mm; matrix, 512 × 512; slice thickness, 5 mm. All patients were injected with nonionic intravenous contrast agent, via the antecubital vein with mechanical power injector, according to their weight (1 mL/kg body weight, with a maximum of 150 mL). Phase and delay time were as follows: Phase 1, unenhanced; Phase 2, postcontrast corticomedullary phase (CMP): 25–28 s after contrast agent was administrated; Phase 3, postcontrast nephrographic phase (NP): 65–70 s after contrast agent was administrated; and Phase 4, postcontrast excretory phase [26 (link)].

Xv Y., Lv F., Guo H., Zhou X., Tan H., Xiao M, & Zheng Y. (2021). Machine learning-based CT radiomics approach for predicting WHO/ISUP nuclear grade of clear cell renal cell carcinoma: an exploratory and comparative study. Insights into Imaging, 12, 170.

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MRI-CT Fusion for Electrode Distance Measurement

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Each patient had a detailed preoperative MRI (Siemens Trio 3.0 T scanner). The technical protocol included high resolution 3DT2, 3DFLAIR, axial T2*, axial FSET2, and 3DT1 sequences after administration of gadolinium. The 3DT2 sequence (TE = 223 ms, TR = 2,400 ms, field of view = 450 mm², matrix = 448, slice thickness = 1.0 mm) was fused (16 (link)) with a postoperative CT-scan [Siemens Somatom Definition Flash (Siemens, Erlangen, Germany)] or a GE Discovery 750HD (GE Healthcare, Milwaukee, WI, USA).
The software used was the Integrated Registration, AW Volume Share 4.6, GE Healthcare. The program made a rigid-body registration using mutual registration with a two-pass-transform estimation (for rotation and translation). Image alignment was visually evaluated. In cases in which alignment was not satisfactory by use of the automatic alignment option, it was completed by use of the manual alignment option.
The distance of each electrode contact’s center to the closest border of CSBT was measured: the first boundary of the “distance measurement tool” (DMT) was adjusted on the contact’s center visualized on the CT-coronal plane, extracted from the MRI-CT fusion; then the second boundary of the DMT was adjusted to get the smallest distance to the antero-medial border of CSBT visualized on the MRI-axial plane extracted from the MRI-CT fusion (Figure 2).

Bally J.F., Vargas M.I., Horvath J., Fleury V., Burkhard P., Momjian S., Pollak P, & Boex C. (2017). Localization of Deep Brain Stimulation Contacts Using Corticospinal/Corticobulbar Tracts Stimulation. Frontiers in Neurology, 8, 239.

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