Extracting maximum information from the signal obtained from the dynamic images with positron emission tomography

Author

Li, Xianjin ; Feng, Dagan

Author_Institution

Basser Dept. of Comput. Sci., Sydney Univ., NSW, Australia

Volume

1

fYear

1996

fDate

26-29 Nov 1996

Firstpage

456

Abstract

An optimal design technique is proposed based on the traditional optimal design for a discrete sampled experiment. The technique can be used to extract the maximum information from the signal obtained from the dynamic images recorded continuously in positron emission tomography kinetic studies. An application example for estimating cerebral metabolic rate of glucose is used to illustrate this new technique. The result show that using the optimal design technique proposed, not only can the maximum information be obtained from the signal recorded, but also the image storage space can be reduced by more then 75%

Keywords

brain; design of experiments; medical image processing; parameter estimation; positron emission tomography; discrete sampled experiment; dynamic images; glucose cerebral metabolic rate; image storage space; maximum information extraction; optimal design technique; positron emission tomography; positron emission tomography kinetic studies; Algorithm design and analysis; Biomedical measurements; Computer science; Data mining; Image storage; Kinetic theory; Parameter estimation; Positron emission tomography; Sampling methods; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications

Conference_Location

Perth, WA

Print_ISBN

0-7803-3679-8

Type

conf

DOI

10.1109/TENCON.1996.608859

Filename

608859