Estimation of kinetic model parameters in fluorescence optical diffusion tomography.
We present a technique for reconstructing the spatially dependent dynamics of a fluorescent contrast agent in turbid media. The dynamic behavior is described by linear and nonlinear parameters of a compartmental model or some other model with a deterministic functional form. The method extends our previous work in fluorescence optical diffusion tomography by parametrically reconstructing the time-dependent fluorescent yield. The reconstruction uses a Bayesian framework and parametric iterative coordinate descent optimization, which is closely related to Gauss-Seidel methods. We demonstrate the method with a simulation study.
Milstein
Adam B
AB
School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana 47907-2035, USA.
Webb
Kevin J
KJ
Bouman
Charles A
CA
D000465:Algorithms; D003198:Computer Simulation; D004058:Diffusion; D005456:Fluorescent Dyes; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007700:Kinetics; D008856:Microscopy, Fluorescence / Q000379:methods*; D008954:Models, Biological; D015233:Models, Statistical; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D041622:Tomography, Optical / Q000379:methods*
D005456:Fluorescent Dyes