Title :
Statistical Analysis of Dynamic Tracer Data
Author :
Snyder, Donald L.
Author_Institution :
Biomedical Computer Laboratory, Washington University School of Medicine, St. Louis, Mo., and the Department of Electrical Engineering, Washington University, St. Louis, Mo. 63130.
Abstract :
Statistical estimation theory is applied to the problem of analyzing data obtained in dynamic tracer studies in nuclear medicine. Procedures are given for the determination of the maximum likelihood (ML), maximum a posteriori probability (MAP), and minimum meansquare-error (MMSE) estimates of parameters describing the transport of the monitored tracer in tissue. Some numerical results are given for data obtained in monitoring the natural decay of strontium-85 and oxygen-15 isotopes frequently used in nuclear medicine.
Keywords :
Condition monitoring; Data analysis; Estimation theory; Isotopes; Maximum likelihood estimation; Nuclear medicine; Parameter estimation; Probability; Statistical analysis; Strontium compounds; Factor Analysis, Statistical; Half-Life; Models, Theoretical; Nuclear Medicine; Oxygen; Probability; Strontium; Strontium Isotopes;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.1973.324246
