Compartmental modeling in dynamic SPET using projection data

Author

Karjalainen, P.A. ; Vauhkonen, M. ; Kaipio, J.P.

Author_Institution

Dept. of Appl. Phys., Kuopio Univ., Finland

Volume

2

fYear

1998

fDate

29 Oct-1 Nov 1998

Firstpage

763

Abstract

A method for compartmental modeling in dynamic SPET studies is proposed. The method is based on direct use of projection data and does not necessitate the reconstruction of the SPET images. The activity is modeled with the first order Markov model and the Kalman smoothing algorithm is used for the recursive estimation of the activities. The transportation coefficients are simultaneously estimated using a nonlinear output least squares method. The method is evaluated using simulations

Keywords

Kalman filters; Markov processes; image segmentation; image sequences; least squares approximations; medical image processing; physiological models; recursive estimation; single photon emission computed tomography; smoothing methods; Kalman smoothing algorithm; compartmental modeling; dynamic single photon emission tomography; first order Markov model; image sequence; nonlinear output least squares method; projection data; recursive estimation; transportation coefficients; Image reconstruction; Kalman filters; Least squares methods; Physics; Reconstruction algorithms; Recursive estimation; Time measurement; Tomography; Transportation; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE

Conference_Location

Hong Kong

ISSN

1094-687X

Print_ISBN

0-7803-5164-9

Type

conf

DOI

10.1109/IEMBS.1998.745540

Filename

745540