DocumentCode :
312619
Title :
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
Link To Document :
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