Estimation of kinetic model parameters in fluorescence optical diffusion tomography
JOSA A, Vol. 22, Issue 7, pp. 1357-1368 (2005)
http://dx.doi.org/10.1364/JOSAA.22.001357
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Abstract
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.
© 2005 Optical Society of America
OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(100.3190) Image processing : Inverse problems
(100.6950) Image processing : Tomographic image processing
(170.3010) Medical optics and biotechnology : Image reconstruction techniques
(170.6280) Medical optics and biotechnology : Spectroscopy, fluorescence and luminescence
(290.3200) Scattering : Inverse scattering
(290.7050) Scattering : Turbid media
Citation
Adam B. Milstein, Kevin J. Webb, and Charles A. Bouman, "Estimation of kinetic model parameters in fluorescence optical diffusion tomography," J. Opt. Soc. Am. A 22, 1357-1368 (2005)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-22-7-1357
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