Vereos

Manufactured by Philips

The Vereos is a laboratory equipment product manufactured by Philips. It is designed to perform specific functions within a laboratory setting. The core function of the Vereos is to provide precise and reliable measurements, but a more detailed description cannot be provided while maintaining an unbiased and factual approach.

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Lab products found in correlation

Gemini tf64, by Philips (1 mentions) Discovery 690, by GE Healthcare (1 mentions) Gemini gxl 16, by Philips (1 mentions)

Close spelling variants of this product

Vereos system Vereos PET/CT Vereos Digital PET/CT Vereos Digital PET/CT scanner Vereos PET/CT scanner Vereos-Ingenuity

14 protocols using vereos

PET/CT Scanner Evaluation for PDRP

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To investigate the effect of different scanners and reconstruction settings on PDRP subject scores, the H3DBP underwent scanning on four PET/CT scanners from different hospitals. The following systems were used: the Siemens Biograph from the UMCG as described previously; a GE710 from the Catharina Hospital in Eindhoven, the Netherlands; a Philips Vereos from Philips Cleveland; and a Philips Ingenuity system from the VU University Medical Center (VUMC) in Amsterdam, the Netherlands. On each scanner, multiple clinically relevant reconstruction settings were applied, with and without TOF and PSF when possible.

Kogan R.V., de Jong B.A., Renken R.J., Meles S.K., van Snick P.J., Golla S., Rijnsdorp S., Perani D., Leenders K.L, & Boellaard R. (2019). Factors affecting the harmonization of disease-related metabolic brain pattern expression quantification in [18F]FDG-PET (PETMETPAT). Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring, 11, 472-482.

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Dynamic Rb-82 PET/CT for Normal and Abnormal Perfusion

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We retrospectively included 20 patients referred for MPI using Rb-82 PET/CT (Vereos, Philips Healthcare) who underwent dynamic rest and regadenoson-induced stress imaging. These 20 patients comprised 10 patients with a scan interpreted as normal by a nuclear medicine physician and 10 in whom the Rb-82 PET scan was interpreted as abnormal (ischemic or irreversible defect). In this way, we ensured the applicability not only in patient scans interpreted as normal but also in patient scans with less perfusion. Approval by the medical ethics committee was not required according to Dutch law as this study was performed retrospectively. Nevertheless, all patients provided written informed consent for the use of their data for research purposes.

Koenders S.S., van Dijk J.D., Jager P.L., Mouden M., Tegelaar A.G., Slump C.H, & van Dalen J.A. (2021). Effect of temporal sampling protocols on myocardial blood flow measurements using Rubidium-82 PET. Journal of Nuclear Cardiology, 29(4), 1729-1741.

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18F-FDOPA PET Acquisition and Reconstruction

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All patients fasted for at least 4 h before ¹⁸F-FDOPA PET acquisition and some patients received Carbidopa, to help increase tracer uptake in the brain, 1 h prior to their exam, which was the institutional procedure effective between February 2018 and September 2020 [19 (link)]. Acquisitions were performed on the same digital PET/computed tomography (CT) device (Vereos, Philips Healthcare^®, Eindhoven, The Netherlands). First, a CT scan was obtained for each patient. A 30 min dynamic PET acquisition was performed following the injection of 2MBq ¹⁸F-FDOPA per kg of body weight. One static image based on the last 20 min of the acquisition (2 iterations, 10 subsets, 256 × 256 × 164 voxels of 1 × 1 × 1 mm³) and 30 frames of 1 min each (3 iterations, 15 subsets, 128 × 128 × 82 voxels of 2 × 2 × 2 mm³) for dynamic images were reconstructed using an OSEM 3D algorithm [16 (link),20 (link)]. All static and dynamic PET images were reconstructed with and without PSFd. Images were corrected for CT attenuation and dead time, as well as random and scattered coincidences during the reconstruction process.

Ahrari S., Zaragori T., Bros M., Oster J., Imbert L, & Verger A. (2022). Implementing the Point Spread Function Deconvolution for Better Molecular Characterization of Newly Diagnosed Gliomas: A Dynamic 18F-FDOPA PET Radiomics Study. Cancers, 14(23), 5765.

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PET/CT Calibration Protocol for Quantitative Imaging

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Figure 3a‐d shows examples of calibration linear relationships generated for the GE Revolution, SIEMENS Intevo, Philips iQon and Philips VEREOS PET/CT using the different phantom sizes. The water‐equivalent area (A_W) normalized to the field of view in the x‐dimension of the CT localizer (FOV_X), denoted as R, as a function of the mean profile pixel value (PPV¯) for the most common kVp for axial scans on each scanner. The lines of best fit (LBF) for these linear plots are used to convert the PPV¯ to A_W. Figure 1 shows steps for the calibration method and how it is applied to patient data in the next section.

Burton C.S, & Al‐Ward S. (2023). Estimating size specific dose estimate from computed tomography radiograph localizer with radiation risk assessment. Journal of Applied Clinical Medical Physics, 24(6), e13989.

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Evaluation of High-Performance PET Scanner

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All data were taken on the PennPET Explorer, a 70-cm long AFOV PET scanner built using the Philips digital photon counting tiles, which consist of an array of 3.86 × 3.86 × 19 mm³ LYSO crystals coupled to a digital SiPM array. The scanner is composed of three 23-cm AFOV rings, of which 6.6-cm is currently inactive due to data readout limitations (Figure 1C), unlike the simulated scanner that did not have inactive regions. The inactive regions result in half the total sensitivity and introduce small axial image noise variations. Once these regions are active, the scanner will match the simulated 70-cm scanner. The PennPET Explorer has a measured spatial resolution of 4.0 mm, energy resolution of 12%, sensitivity of 54 kcps/MBq, and a timing resolution of 250 ps. The timing resolution is improved compared to the Philips Vereos by cooling the system to 5°C, thus reducing the dark noise, and using a lower timing trigger level [19 (link)].

Viswanath V., Pantel A.R., Daube-Witherspoon M.E., Doot R., Muzi M., Mankoff D.A, & Karp J.S. (2020). Quantifying bias and precision of kinetic parameter estimation on the PennPET Explorer, a long axial field-of-view scanner. IEEE transactions on radiation and plasma medical sciences, 4(6), 735-749.

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FDG-PET Imaging: Standardization Across Scanners

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PET images were acquired on a Siemens ECAT PET scanner (40–60 min p.i.; N = 9), Philips Gemini TF64 (N = 21), or Philips Vereos (N = 5) PET/CT systems (50–60 min p.i.) after injection of 292 ± 29, 219 ± 31, or 213 ± 7 MBq FDG, respectively. For details on data acquisition and reconstruction, please see [15 , 16 (link)]. In order to account for different spatial resolutions of the scanners, reconstructed and spatially normalized images were smoothed with Gaussian filters of 5 (ECAT), 7 (TF64), or 8 mm FWHM (Vereos) using SPM12 (Version 7219; www.fil.ion.ucl.ac.uk). After scaling to individual brain parenchyma uptake, PET images were subjected to statistical analyses with SPM12.

Frings L., Blazhenets G., Binder R., Bormann T., Hellwig S, & Meyer P.T. (2023). More extensive hypometabolism and higher mortality risk in patients with right- than left-predominant neurodegeneration of the anterior temporal lobe. Alzheimer's Research & Therapy, 15, 11.

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Comparison of Regional FDG Uptake in ATL

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For the definition of symmetric ATL metabolism and for comparison of regional FDG uptake, we used FDG PET data from 35 healthy elderly persons and 45 age-matched control patients scanned under identical conditions from our database for statistical comparisons, in whom somatic CNS diseases were carefully excluded. Controls were imaged on Philips TF64 (N = 35) or Philips Vereos (N = 45) PET/CT systems (Table 1).Table 1

Description of patients and controls

	RATL patients	LATL patients	BILATL patients	Control subjects
N	10	17	8	80
Age (mean ± S.D.)	66.4 ± 6.9	68.7 ± 5.7	68.0 ± 6.5	69.4 ± 10.7
Sex (female to male)	4:6	12:5	4:4	39:41
Education *	12.6 ± 2.9	14.0 ± 2.9	12.9 ± 3.3	N.A
Symptom duration, years (mean ± S.D.)**	2.8 ± 1.6	3.2 ± 2.2	3.0 ± 1.8	N.A
MMSE score **	23.4 ± 5.4	23.3 ± 3.7	23.8 ± 1.8	N.A
Amyloid PET (Proportion of negative from all available cases)	5/5	8/8	6/6	N.A
Predominant clinical symptoms	Behavioral: 8 Language: 1 Other: 1	Behavioral: 2 Language: 10 Memory: 5	Behavioral: 2 Language: 3 Memory: 3	N.A

RATL, Right-predominant, LATL Left-predomiant, BILATL Symmetric neurodegeneration of the ATL

^*Missing in 3 cases

^**Missing in 4 cases

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Multimodal Cardiac Imaging Protocol

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We performed a prospective single-center study and included 30 consecutive patients referred for MPI using PMT PET (Discovery 690, GE Healthcare; D690) with Rb-82 for the evaluation of coronary artery disease. Within three weeks after the first PET scan, patients underwent a second MPI PET scan on a SiPM PET scanner (Vereos, Philips Healthcare). The local institutional ethics committee approved the study protocol and informed consent was obtained from all individual participants included in the study.

Koenders S.S., van Dalen J.A., Jager P.L., Knollema S., Timmer J.R., Mouden M., Slump C.H, & van Dijk J.D. (2020). Value of SiPM PET in myocardial perfusion imaging using Rubidium-82. Journal of Nuclear Cardiology, 29(1), 204-212.

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Standardized 18F-FDG PET/CT Imaging Protocol

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¹⁸F-FDG PET/CT scans were conducted using PHILIPS GEMINI GXL16 and PHILIPS Vereos scanners. Before the scans, patients had a fasting period of at least 6 h, and their blood glucose levels were required to be < 11.1 mmol/L. The PET/CT scans covered the entire body from the base of the skull to the upper thigh. The scans were performed approximately 60 ± 5 min after intravenous injection of 3.7–5.55 MBq/kg ¹⁸F-FDG. CT acquisition data were used to correct for attenuation. The details of PET/CT image acquisition parameters are displayed in Additional file 1: Table s1.

Jing F., Liu Y., Zhao X., Wang N., Dai M., Chen X., Zhang Z., Zhang J., Wang J, & Wang Y. (2023). Baseline 18F-FDG PET/CT radiomics for prognosis prediction in diffuse large B cell lymphoma. EJNMMI Research, 13, 92.

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Simulating PennPET Explorer with GATE

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Simulations were done using Geant4 Application for Tomographic Emission (GATE) V8.0 (Strulab et al., 2003 ), where true, random, and scattered events were all modeled. The macros and conversion scripts were based on those modeling the Philips Vereos (Perkins, 2017 ). Prior validation of the macros used for our simulations for the Vereos was performed by Trindade et al. (Trindade et al., 2015 ). The simulation macros and list-mode conversion scripts model the scanner geometry, line-of-response (LOR) sensitivity, and light sharing between crystals, which are coupled in a 1:1 arrangement on the digital SiPM device. The Vereos model was extended from 5 rows of tiles (16.4 cm axially) to 21 (70 cm axially) to create the 70-cm scanner simulations, to reflect the configuration of the PennPET Explorer. Based on the Philips Vereos parameters, all simulations were run with a 10.9% energy resolution (450-613 keV window) and at 100-ps timing resolution (4.02-ns coincidence window) that was later degraded to a 250-ps timing resolution to match the performance of the PennPET Explorer. The simulated scanner sensitivity, determined using the NEMA NU-2 methodology (2001) , was 90 kcps/MBq.

Viswanath V., Witherspoon M.E., Karp J.S, & Surti S. (2020). Numerical observer study of lesion detectability for a long axial field-of-view whole-body PET imager using the PennPET Explorer. Physics in medicine and biology, 65(3), 035002.

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