Parameter estimation using reduced dynamic imaging data in PET studies

Author

Li, Xaanjin ; Feng, Dagan

Author_Institution

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

Volume

2

fYear

1996

fDate

14-18 Oct 1996

Firstpage

859

Abstract

Dynamic imaging with positron emission tomography (PET) has a great impact on the quantification of physiological parameters in humans. However, physiological parameters of interest are usually estimated with measurements obtained from a huge amount of dynamic image data. In this paper, a new estimation method is proposed which is suitable for parameter estimation using reduced dynamic imaging data in PET studies. The method was tested with the use of a well-known tracer kinetic model, and computer simulations were performed. It has been found that good parameter estimates can be obtained using the method with reduced dynamic imaging data

Keywords

image sampling; medical image processing; parameter estimation; physiology; positron emission tomography; PET studies; estimation method; humans; parameter estimation; physiological parameters; positron emission tomography; reduced dynamic imaging data; tracer kinetic model; Humans; Image reconstruction; Image storage; Kinetic theory; Mathematical model; Parameter estimation; Positron emission tomography; Processor scheduling; Sampling methods; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 1996., 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-2912-0

Type

conf

DOI

10.1109/ICSIGP.1996.566221

Filename

566221