Inveon multimodality pet scanner
The Inveon Multimodality PET scanner is a medical imaging device designed for small animal research. It combines positron emission tomography (PET) technology with advanced imaging capabilities to provide high-resolution, quantitative data on physiological and metabolic processes in small animal models. The Inveon Multimodality PET scanner enables non-invasive, longitudinal imaging studies to support preclinical research in various fields, including oncology, neuroscience, and cardiology.
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3 protocols using inveon multimodality pet scanner
In Vivo PET Imaging of Animals
In Vivo PET Imaging of Mice with 18F-FDG
Mice received approximately 15MBq 18F-FDG administered as an i.v. bolus. Following 18F- FDG injection, anaesthesia was maintained for a 45-minute uptake period followed by a 20-minute emission PET scan. Animals were humanely euthanised following scanning. Data were acquired using Inveon Acquisition Workplace (IAW) software (Siemens) version 1.4.3 and analysed using Inveon Reconstruction Workplace (IRW) software (Siemens) version 2.2.0. The performance of the scanner has been documented previously [17 (link)]. Images were reconstructed using the order subset expectation maximisation (OSEM)/maximum a posterior (MAP) algorithm. Regions of interest (ROI’s) were drawn manually using the 3D visualisation package of IRW software. Data were expressed as the maximum standardised uptake value (MaxSUV). MaxSUV was calculated using the formula described by Gambhir et al, where ID is the injected activity [18 ].
PET Imaging of Glucose Metabolism
Mice received approximately 15 MBq 18F-FDG administered as an i.v. bolus. The % injected dose of 18F-FDG that entered the animal was calculated using a BriTec well counter and a measurement performed before and after 18F-FDG injection. Following 18F-FDG uptake, anaesthesia was maintained for a 45-min uptake period following by a 20-min emission PET scan. Data were acquired using Inveon Acquisition Workplace (IAW) software (Siemens) version 2.2.0. The performance of the scanner has been documented previously [22 ]. Images were reconstructed using the order subset expectation maximisation (OSEM)/maximum a posterior (MAP) algorithm. Regions of interest (ROIs) were drawn manually using the 3D visualization package of IRW software. Data were expressed as the maximum standardized uptake value (SUVmax). SUVmax was calculated using the formula described by Gambhir et al. [23 ].
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