Researchers at the University of California, Davis, have developed a method to acquire and model high temporal resolution (1-2 seconds per frame) dynamic data with PET scans.
Current clinical PET scanning methods and data modeling allow for a temporal resolution of 5-10 seconds per frame with compromised image quality. A high temporal resolution dynamic PET scan can attain a higher temporal resolution, around 2 seconds per frame, but currently cannot be adequately resolved. New methodologies and models are needed to obtain and optimize high-resolution dynamic PET scanning data.
Researchers at the University of California, Davis, have developed a method to acquire and model high temporal resolution PET scans that are a function of temporal and spatial locations. This model is able to directly estimate blood flow and blood volume from the dynamic PET data using a single tracer injection. Using this method, for example, one can obtain simultaneous imaging of blood flow and glucose metabolism using a single dynamic 18F-FDG PET scan. This has applications in characterization of flow-metabolism mismatch or coupling in aggressive tumors, myocardial viability, and brain function in neurodegenerative diseases.