PET-CT was performed on a preclinical hybrid scanner (Inveon, Siemens, Erlangen, Germany). A quantity of 5.5 MBq of 2-deoxy-2-[fluorine-18]fluoro-D-glucose (18F-FDG) was intravenously injected into the animals 25 min prior to imaging. CT imaging was performed with the following settings: tube voltage: 80 kV, tube current: 500 µA, acquisition: step-and-shoot, rotation: full, settle time: 500 ms, projections: 180, exposure time: 1100 ms, binning: 2 × 2, charge-coupled device (CCD) size: 2688 × 2048 px, FoV: 66 mm × 50 mm, effective pixel size: 49 µm, scan time: 6 min. After CT, PET images were acquired for 15 min. PET data were analyzed using Inveon Acquisition software (Siemens). For each animal, mean and maximum activities in the skin chamber were determined. The parameter area under the curve (AUC, associated with blood volume) was derived using a self-written software script, and mean standard uptake values (SUV mean) were calculated by dividing the obtained mean activities by the injected activity and multiplying the result by the weight of the individual animal.
Inveon acquisition software
Manufactured by Siemens
Sourced in Germany, United States
The Inveon acquisition software is a tool designed for capturing and managing data from Siemens' Inveon imaging systems. It provides a user interface for configuring, controlling, and acquiring data from these imaging systems.
Automatically generated - may contain errors
Lab products found in correlation
3 protocols using inveon acquisition software
1
PET-CT Imaging of 18F-FDG Uptake
2
Multimodal Imaging Analysis of Bone Remodeling
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
For CT image analysis, window level was set to 3759, window width to 5553. The visible newly formed bone along the metatarsals was segmented and its volume was determined. Osteolytic lesions in the metatarsal space were segmented with threshold values between 1000 and 2500 Hounsfield units. PET data were analyzed using Inveon acquisition software (Siemens, Erlangen, Germany). For each animal, the left and right hind paws were segmented, and mean and maximum activities in the segmented volumes were determined. Mean and maximum standard uptake values (SUV mean and SUV max) were calculated by dividing the obtained mean and maximum activities by the injected activity and multiplying the result by the weight of the animal. CT and MR image analysis was performed using Osirix Dicom Viewer (Aycan Osirix, USA) in conjunction with Chimaera's segmentation tool (Chimaera GmbH, Erlangen, Germany).
3
Quantifying Neuroinflammation in Rats
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The data were reconstructed using the ordered-subsets expectation maximization algorithm in 3 dimensions plus fastMAP (fast maximum a posteriori) iterative reconstruction protocols in the Inveon acquisition software (Siemens Medical Solutions, USA). All datasets were aligned to a standard rat template (Sciffer, PMOD) using the rigid matching tool within PMOD, version 3.4 (PMOD Technologies Ltd.). The images were then evaluated by drawing a spheric ROI in the injected striatum. This ROI was then mirrored in the contralateral hemisphere to act as a reference region. ROI analysis and segmentation were performed in PMOD. The time-activity curve (TAC) from the volume of interest drawn in the lesioned hemisphere was subtracted from the time-activity curve from the contralateral hemisphere to examine the point of maximal binding (25-50 min) during the imaging time frame. The boundto-free ratio was then calculated over the period of maximal binding, as described by Farde et al. (25) . Briefly, the area under the curve was calculated by integrating between the defined time limits during the maximal binding period for both the lesioned time-activity curve and the contralateral time-activity curve. To get the bound-to-free ratio, the following calculation was performed: 18 F-GE180 binds not only to lesion core, but also to surrounding inflamed area as well.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!