Sedecal Super Argus
Main Imaging Features
- Higher Sensitivity in PET: Higher sensitivity allows researchers to inject less radioactive tracer, resulting in lower radiation exposure to animals and researchers, and reduced scan time with similar image quality.
- Large field of view (FOV) in both PET and CT: Both PET and CT have large FOV which allows for whole body dynamic scans on mice. More attractively, the larger bore size will allow not only small rodents, but also rabbits and guinea pigs for PET and CT imaging. Imaging several mice simultaneously, up to four at a time, is also possible with the larger bore.
- High Resolution and Fast Reconstruction: The new system can provide sub-millimeter resolution (0.7 mm in center location). Better spatial resolution yields less partial volume effects and increases the detection power for small lesions. This will be particularly beneficial for brain imaging on mice, as smaller regions can be differentiated with higher resolution. The SuperArgus not only has superior image quality, but also increases throughput by allowing imaging of multiple animals on the same bed, since it is no longer necessary to place each animal in the middle of the bore.
- Real Time PET mode: The new system features a new acquisition mode which uses a time stamp technique to show PET images in real time. Real time PET imaging allows position adjustment during scans, and provides high temporal resolution for monitoring dynamic changes.
- Fast CT acquisition and high CT resolution: The CT of the SuperArgus can be used as a standalone, high resolution CT system (down to 20um) with adjustable x-ray energy level ranges. A standard CT acquisition can be completed within 1 minute. Improved CT resolution also enhances image quality, detection power, and diagnosis accuracy in animal studies.
- Enhanced Analysis Tools: The SAI has state of the art software for advanced PET image processing. These include Vevoquant, PMOD, and multimodality fusion software. The PMOD software provides excellent support on dynamic data analysis and parametric mapping.