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Xeleris 3 functional imaging workstation

Manufactured by GE Healthcare
Sourced in United States

The Xeleris 3 Functional Imaging Workstation is a medical imaging software platform developed by GE Healthcare. It is designed to process, analyze, and visualize functional imaging data, such as that obtained from positron emission tomography (PET) and single-photon emission computed tomography (SPECT) scans. The Xeleris 3 provides tools for image reconstruction, quantification, and reporting to aid healthcare professionals in their clinical decision-making.

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2 protocols using xeleris 3 functional imaging workstation

1

Gamma Camera Imaging of Inhaled Aerosol Deposition

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To sample the posterior thorax, subjects were seated close to the gamma camera detector (Starcam 3200 AC/T GE Medical Systems, Little Chalfont, Buckinghamshire, UK) with an acquisition of 300 s with a matrix of 256 × 256 pixel. The scanner was repositioned to scan the anterior upper airway/face, followed by a scan of device components (nebulizer, humidifier chamber, tubing, cannula, mask, and filter) [21 (link)].
Both pulmonary and extrapulmonary regions of interest (ROI) were delimited using the Xeleris 3 Functional Imaging Workstation (GE Healthcare, Milwaukee, WI, USA). The radiation count of each compartment (lungs, upper respiratory tract, stomach, device, and filter) was determined for each ROI, with a mass balance expressed as a percentage of the sum of the counts (primary outcomes) [22 (link)]. Attenuation and tissue absorption correction factors for lungs, stomach, and oropharynx were applied as described by Lee [23 (link)]. Correction factors of 2.27 were specifically applied to the lung and stomach counts, and 2.37 for the upper airway, with no correction applied to device components and filters.
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2

11C-MET-PET Imaging of Lesions

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11C-MET-PET images (n = 17) were performed using a previously described methodology (19) . Briefly, PET imaging was performed parallel to the orbit meatal line. A molded plastic facemask was used to restrict head motion. Images were obtained by intravenous bolus injection of 200-550 MBq of MET. All images were reconstructed using a conventional filtered backprojection algorithm, and were corrected for nonuniformity of detector response, dead time, random coincidences, and scattered radiation. After fusing the PET and contrast-enhanced T1-weighted images using commercial software (Xeleris 3 Functional Imaging Workstation, GE, USA), each ROI was manually placed on the lesion (including the pixel with the highest accumulation), using the contralateral region of the normal gray matter as a reference. The uptake lesion-tonormal tissue (L max /N max ) ratios rSUV max were calculated from the maximum uptake of lesions and the reference area as visible in11C-MET-PET.
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