Xeleris 3

Manufactured by GE Healthcare

Sourced in United States

Xeleris 3.1 is a powerful and reliable workstation for medical imaging data processing and analysis. It provides advanced tools for visualization, quantification, and interpretation of nuclear medicine, PET, and SPECT images. The system offers a user-friendly interface and robust functionalities to support clinical decision-making.

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Lab products found in correlation

Myovation, by GE Healthcare (2 mentions) Discovery 670 pro, by GE Healthcare (2 mentions) Discovery st8, by GE Healthcare (2 mentions) Discovery st elite, by GE Healthcare (1 mentions) Ge discovery 710, by GE Healthcare (1 mentions)

Close spelling variants of this product

Xeleris 3.0 workstation Xeleris 3 workstation Xeleris 3 Functional Imaging Workstation Xeleris

11 protocols using xeleris 3

Myocardial Perfusion SPECT Imaging Protocol

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The noncorrected and motion-corrected images were reconstructed by applying an iterative dedicated reconstruction algorithm with maximum-likelihood expectation maximization (Myovation, Xeleris 3.1, GE Healthcare). The use of dedicated software (Make SA and Fil3DBatch, Xeleris 3.1, GE healthcare) allowed to reconstruct both the noncorrected and motion-corrected images using the exact same alignment and masking, excluding possible reproducibility errors.16 (link)
Each image was automatically normalized to the maximum peak activity and the 17-segmental uptake values were presented as the percentage of the maximum myocardial regional uptake. Total perfusion deficit (TPD) was automatically calculated for all scans (Quantitative Perfusion SPECT (QPS) 2009, Sedar Senai). TPD is defined as the percentage of segments below the predefined uniform average deviation threshold, as explained in detail by Berman et al.20 (link) Scans were displayed in the traditional short, vertical long, and horizontal long axes and reviewed using a color scale.

van Dijk J.D., van Dalen J.A., Mouden M., Ottervanger J.P., Knollema S., Slump C.H, & Jager P.L. (2016). Value of automatic patient motion detection and correction in myocardial perfusion imaging using a CZT-based SPECT camera. Journal of Nuclear Cardiology, 25(2), 419-428.

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Quantitative [11C]TGN-020 PET/CT Imaging

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The [¹¹C]TGN-020 PET/computed tomography (CT) scan was acquired using a combination PET/CT scanner (Discovery ST Elite, GE Healthcare). Low-dose CT scans were performed in helical mode with 120 kVp, 50 mA, helical thickness of 3.75 mm, and 15 cm field of view positioned in the region of the cerebrum. [¹¹C]TGN-020 (160-272 MBq, 2.2-4.2 MBq/kg body weight) was administered intravenously in 2 min by syringe pump (PHD2000, Harvard, Cambridge, Massachusetts). PET emission data were acquired over 30 min in 3-dimensional (3D) statistic mode, from 10 min after the administration of [¹¹C]TGN-020, with a 25.6 cm axial field of view. The emission scans were reconstructed with a 128× 128× 47 matrix (a voxel size of 2.0× 2.0× 3.27 mm) using a 3D ordered subset expectation maximization iterative reconstruction algorithm (2 iterations and 28 subsets) after attenuation correction using the CT data. All PET images were transferred to a workstation Xeleris 3.1 (GE Healthcare) for analysis. Tissue activity concentration was expressed as the standardized uptake value (SUV), g/ml, corrected for subject's body weight and administrated dose of radioactivity.

Suzuki Y., Nakamura Y., Yamada K., Kurabe S., Okamoto K., Aoki H., Kitaura H., Kakita A., Fujii Y., Huber V.J., Igarashi H., Kwee I.L, & Nakada T. (2017). Aquaporin Positron Emission Tomography Differentiates Between Grade III and IV Human Astrocytoma. Neurosurgery, 82(6), 842-846.

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Motion Correction in Cardiac SPECT

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All emission data were reformatted into 1.0- and 20-second time bins for RM and PM detection and correction, respectively. Next, a volume of interest was drawn manually around the myocardium to exclude extra cardiac activity. Motion was tracked by commercially available software (MDC for Alcyone, Xeleris 3.1, GE Healthcare). In short, the algorithm determines the center of mass in the detected counts for five pinhole projections in the user-defined volume of interest. Next, five virtual lines originating from these center of mass’ are drawn through these pinholes, and the point (x,y,z) with the smallest distance from these lines is calculated. This process is repeated for each time bin, and afterwards all points are compared to identify motion. The magnitude of RM was only assessed in the z-direction, caudal-cranial, as this is the main contributor to respiratory motion.8 (link) PM was assessed in all three directions: lateral motion, ventral-dorsal motion, and cranial-caudal motion. Overall PM was estimated by calculating the square root of the summed squared motions in all three directions for each time bin. All motions were automatically corrected using the same software by generating a system matrix that incorporated the identified motion which was then used to reconstruct the images from the original projections.

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Adrenal Gland Imaging with Metomidate PET

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Low-dose dexamethasone (0.5 mg) as pretreatment was administered before the study 4 times daily for 3 days. 2111 Cmetomidate PET was performed using GE Discovery 710 (GE Medical Systems). Non-CON CT of the adrenal glands was performed with 140 kV, 64 mA, and width of 3.75 mm. PET was performed 35 minutes after administering an IV injection of MTO (10 MBq/kg) for 10 minutes. Images were reconstructed in Xeleris 3.1 (GE Medical Systems) with ordered subset expectation maximization of 2 iterations, 30 subsets, and 6-mm Hanning filter; this was stored in a 128 × 128 matrix with pixel size of 4 × 4 mm. Semiquantification was described as SUV max manipulated by manually setting the region of interest on both adrenal glands. SUV max on the higher and lower uptake sides of the adrenal gland was denoted as HSUV max and LSUV max , respectively. The ratio of HSUV max to LSUV max was considered to indicate CON. Images were interpreted by 2 experienced nuclear medicine physicians (C.-C.L., with 16 years of experience; R.-F.Y., with 36 years of experience) who were blinded to the patient's clinical history.

Lu C.C., Chen C.J., Peng K.Y., Chueh J.S., Chang C.C., Yen R.F, & Wu V.C. (2022). Predicting Treatment Response in Primary Aldosteronism Using 11 C-Metomidate Positron Emission Tomography. Clinical nuclear medicine, 47(11).

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Radioactive Biodistribution of Meplazumab

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The meplazumab distribution was determined by the region of interest (ROI) radioactive counts in each organ, which were measured using a GE Xeleris 3 image workstation. The protocol of radioactive count measurement in each organ was described in the study protocol (Supplementary Protocol 2). The investigators assessed biodistribution at every scheduled visit, and the timing of each visit was described in the study protocol (Supplementary Protocol 2).

Bian H., Zheng Z.H., Wei D., Wen A., Zhang Z., Lian J.Q., Kang W.Z., Hao C.Q., Wang J., Xie R.H., Dong K., Xia J.L., Miao J.L., Kang W., Li G., Zhang D., Zhang M., Sun X.X., Ding L., Zhang K., Jia J., Ding J., Li Z., Jia Y., Liu L.N., Zhang Z., Gao Z.W., Du H., Yao N., Wang Q., Wang K., Geng J.J., Wang B., Guo T., Chen R., Zhu Y.M., Wang L.J., He Q., Yao R.R., Shi Y., Yang X.M., Zhou J.S., Ma Y.N., Wang Y.T., Liang X., Huo F., Wang Z., Zhang Y., Yang X., Zhang Y., Gao L.H., Wang L., Chen X.C., Tang H., Liu S.S., Wang Q.Y., Chen Z.N, & Zhu P. (2021). Safety and efficacy of meplazumab in healthy volunteers and COVID-19 patients: a randomized phase 1 and an exploratory phase 2 trial. Signal Transduction and Targeted Therapy, 6, 194.

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Whole-Body Tc-99M-DPD SPECT/CT Imaging

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Patients were scanned on a hybrid SPECT/CT device (Discovery 670 Pro, GE Healthcare, Chicago, US), three hours after injection of 8–10 MBq/Kg of Tc-99M-DPD (CIS Bio, Berlin, Germany). To minimize artifacts caused by the presence of radioactive urine in the excretory system, patients were asked to drink at least 1000 ml of water during the uptake time and to void immediately before the scan.
The acquisition comprised a whole-body planar scan, followed by a whole-body SPECT/CT, from vertex up to the distal femoral epiphyses, obtained by reconstructing and fusing three sequential fields of view (Xeleris 3, GE Healthcare, Chicago, USA). SPECT acquisition was carried out with the two camera heads in H-Mode; parameters for each field of view were as follows: energy window 140.5 ± 10%, angular step 6°, time per step 15′′. The transaxial field of view and pixel size of the reconstructed SPECT images were 54 cm and 5 × 5 mm, respectively, with a matrix size of 128 × 128. SPECT raw data were reconstructed using OSEM iterative protocol (2 iterations, 10 subsets).
The 16-detector row, helical CT scanner used a gantry rotation speed of 0.8 s and a table speed of 20 mm per rotation, with a 120 kV voltage and 10–80 mA current. A dose modulation system (OptiDose, GE Healthcare, Chicago, US) was applied to minimize total exposure according to the patient's size. No contrast medium was injected.

Fiz F., Sahbai S., Campi C., Weissinger M., Dittmann H., Marini C., Piana M., Sambuceti G, & la Fougère C. (2017). Tumor Burden and Intraosseous Metabolic Activity as Predictors of Bone Marrow Failure during Radioisotope Therapy in Metastasized Prostate Cancer Patients. BioMed Research International, 2017, 3905216.

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Myocardial PET Quantification Methods

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PET data were analysed using a commercially available software package (Myovation, GE Healthcare, Waukesha, WI, USA) on a dedicated imaging workstation (Xeleris 3, GE Healthcare, Waukesha, WI, USA). Polar maps were normalized to 100 % peak activity and the segmental relative radiotracer uptake was computed using a 20-segment model for the left ventricle [18] . The effect of CT AC may vary substantially among different myocardial regions owing to anatomical nonuniformity or misalignment, as demonstrated by Ficaro et al. [19] and Lautamäki et al. [20] . In order to assess such variations among myocardial regions we also assigned the 20 segments of the left ventricular myocardium to five regions of the left ventricle for regional comparison: apex (segments 19 and 20), anterior (segments 1, 2, 7, 8, 13 and 14), septal (segments 3, 9 and 15), lateral (segments 5, 6, 11, 12, 17 and 18) and inferior (segments 4, 10 and 16) [21] . Analysis was performed with CT AC and repeated with MR AC (with and without TOF).

Vontobel J., Liga R., Possner M., Clerc O.F., Mikulicic F., Veit-Haibach P., Ter Voert E.E., Fuchs T.A., Stehli J., Pazhenkottil A.P., Benz D.C., Gräni C., Gaemperli O., Herzog B., Buechel R.R, & Kaufmann P.A. (2015). MR-based attenuation correction for cardiac FDG PET on a hybrid PET/MRI scanner: comparison with standard CT attenuation correction. European journal of nuclear medicine and molecular imaging, 42(10).

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Validating SPECT/CT Quantification Using Phantom

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To validate SPECT/CT quantification, an anthropomorphic torso phantom (Data Spectrum Corp.) was used. The phantom consisted of liver and lung inserts against a cold background. The 99m Tc-pertechnetate activity concentration in the lung insert was adjusted to simulate a LSF of approximately 10%. Images were acquired with a dual-detector SPECT/CT camera (Discovery 670 Pro; GE Healthcare). A SPECT scan was acquired using a 128 • 128 matrix, 30 steps, and a 120-s acquisition time per step, followed by a CT scan (60 mA, 120 kV, 2.5-mm slice thickness) for attenuation correction and anatomic mapping. Images were reconstructed with an ordered-subset expectation maximization iterative protocol (4 iterations, 10 subsets) without pre-or postfiltering. The reconstructed data were then coregistered with the CT images on a dedicated workstation (Xeleris 3; GE Healthcare).

Dittmann H., Kopp D., Kupferschlaeger J., Feil D., Groezinger G., Syha R., Weissinger M, & la Fougère C. (2018). A Prospective Study of Quantitative SPECT/CT for Evaluation of Lung Shunt Fraction Before SIRT of Liver Tumors. Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 59(9).

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18F-FDG PET/CT Imaging Protocol

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18F-FDG PET/CT image acquisition was carried out according to version 1.0 of the European Association of Nuclear Medicine (EANM) guidelines by an integrated PET/CT scanner (General Electric Healthcare, Chicago, IL). Images were obtained 60 ± 5 minutes after the intravenous injection of 18F-FDG at a dose of 370 MBq/kg. Firstly, a low-dose CT scan without contrast enhancement (120 mA, 150 kV, 512 × 512 matrix, the pitch of 1.75, reconstruction thickness, and interval of 3.75 mm) was performed for a precise anatomical localization and attenuation correction. Next, a three-dimensional PET scan (thickness of 3.27 mm) was performed from the skull base to the proximal thighs with an acquisition time of 3 min per bed position. The PET data sets were iteratively reconstructed using an ordered-subset expectation maximization (OSEM) algorithm with attenuation correction. All collected images were displayed on the GE Healthcare Xeleris 3.0 to reconstruct the fusion images.

Tan H., Ma M., Huang J., Dong Y., Liu J., Mi Z., Zheng K., Hu S, & Rong P. (2022). Preoperative Body Composition Combined with Tumor Metabolism Analysis by PET/CT Is Associated with Disease-Free Survival in Patients with NSCLC. Contrast Media & Molecular Imaging, 2022, 7429319.

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FDG PET/CT Imaging Protocol

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¹⁸F-FDG PET/CT image acquisition was carried out according to version 1.0 of the European Association of Nuclear Medicine (EANM) guidelines on an integrated PET/CT scanner (General Electric Discovery ST8, General Electric Healthcare, Chicago, IL). In short, proper patient preparation (at least 6 hours of fasting) and adequate blood glucose levels (<110 mg/dL) were required. Images were obtained 60 ± 5 minutes after the intravenous injection of 370 MBq/kg of ¹⁸F-FDG. First, a low-dose CT scan without contrast enhancement (120 mA, 150 kV, 512 × 512 matrix, the pitch of 1.75, reconstruction thickness and interval of 3.75 mm) for a precise anatomical localization and attenuation correction was performed. Next, a three-dimensional PET scan (thickness of 3.27 mm) was performed from the skull base to the proximal thighs with an acquisition time of 3 min per bed position.
The PET data sets were iteratively reconstructed using an ordered-subset expectation maximization (OSEM) algorithm with attenuation correction. All collected images were displayed on the GE Healthcare Xeleris 3.0 to reconstruct the PET, CT, and PET/CT fusion images.

Tan H., Ma M., Huang J., Zhu W., Hu S., Zheng K, & Rong P. (2021). Glucose Metabolism Reprogramming of Primary Tumor and the Liver Is Associated With Disease-Free Survival in Patients With Early NSCLC. Frontiers in Oncology, 11, 752036.

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