Transport-theory-based stochastic image reconstruction of bioluminescent sources
JOSA A, Vol. 24, Issue 6, pp. 1601-1608 (2007)
http://dx.doi.org/10.1364/JOSAA.24.001601
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Abstract
A stochastic image reconstruction methodology is proposed for solving the highly ill-posed inverse bioluminescent source problem in light-scattering media. The unknown source distribution is expressed in terms of a set of linearly independent source basis functions. The bioluminescent boundary flux originating from each source basis function is computed prior to image reconstruction by solving the equation of radiative transfer. The misfit between the measured and the predicted boundary flux is described by an error function, which is iteratively minimized by stochastically sampling the global parameter space of all basis functions. Selection and alteration mechanisms, which can be guided by evolutionary principles found in nature, lead to new stochastic samples of source distributions for the next iteration cycle. A least-squares-error solution, representing the sought image of the unknown source distribution, is obtained after convergence. Numerical experiments demonstrate the feasibility of reconstructing bioluminescent source distributions in tissuelike media.
© 2007 Optical Society of America
OCIS Codes
(100.3190) Image processing : Inverse problems
(110.6960) Imaging systems : Tomography
(170.3010) Medical optics and biotechnology : Image reconstruction techniques
(170.3660) Medical optics and biotechnology : Light propagation in tissues
ToC Category:
Image Processing
History
Original Manuscript: July 31, 2006
Revised Manuscript: December 4, 2006
Manuscript Accepted: December 5, 2006
Published: May 9, 2007
Virtual Issues
Vol. 2, Iss. 7 Virtual Journal for Biomedical Optics
Citation
Alexander D. Klose, "Transport-theory-based stochastic image reconstruction of bioluminescent sources," J. Opt. Soc. Am. A 24, 1601-1608 (2007)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=josaa-24-6-1601
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