Johns Hopkins University School of Medicine, USA
Scientific Tracks Abstracts: J Neurol Neurophysiol
Brain PET is a well-established quantitative functional imaging technique to measure physiological and biochemical process. As recent advances in hybrid imaging technology, such as PET-CT and PET-MRI, for whole-body PET imaging, there are urgent needs to develop and validate technologies for quantitative whole-body PET from data acquisition to quantification. The fundamentals of quantitative PET developed in last three decades which include kinetic modeling approach and parametric imaging algorithms will be briefly reviewed. Recent developments in quantitative PET imaging on dopamine and serotonin receptors and transporters will be highlighted. Tremendous efforts have been made to extend quantitative brain or organspecific PET to dynamic whole-body PET in last few years. We investigated the feasibility of quantitative dynamic whole-body PET via multi-bed multi-pass technology. Optimization in data acquisition and quantification were studied by both computer simulation and an ongoing multi-center multi-tracer dynamic whole-body PET project. The potentials and challenges in quantitative whole-body PET in clinical diagnosis, monitoring disease progression, responses to treatments or psychological/ pharmacological stimulations will be discussed with our promising results.
Yun Zhou is Assistant Professor at the Russell H. Morgan Department of Radiology and Radiological Science, and Guest Professor of Peking University First Hospital. He obtained his M.S. in Biomathematics and Ph.D. in Biomedical Physics from University of California at Los Angeles.