Title :
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
fDate :
29 Oct-1 Nov 1998
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.745540
