Abstract
PETCT is a constantly improving field; technologies for image formation as well as image interpretation are evolving. Improved image formation technology (such as Bayesian penalized likelihood reconstruction algorithm (BPL)) is now commercially available and increasingly used routinely. While improving image quality, the derived quantitative values (e.g. SUVmax) may differ from established methods (e.g. ordered subset expectation maximization (OSEM) time of flight (TOF)). On the other hand, image interpretation is being refined, with emphasis increasingly placed on (semi-)quantitative methods.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
