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Proceedings Paper

Stochastic image reconstruction in bioluminescence tomography with the equation of radiative transfer
Author(s): Alexander D. Klose
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Paper Abstract

The underlying mathematical model for bioluminescence tomography (BLT) is an ill-posed inverse source problem, which can be cast into an optimization problem of a χ2-error function. The error function quantifies the discrepancy between the measured and predicted partial current of bioluminescent light at the tissue boundary. In this work, the predicted partial current has been calculated prior to image reconstruction by solving the equation of radiative transfer (ERT) for a set of source basis functions of the entire tissue domain. A global optimization technique based on stochastic sampling principles probes the global parameter space of bioluminescent source distributions composed of source basis functions. The stochastic approach avoids a premature convergence, which can be caused, e.g., by a narrow or a shallow surface landscape of the χ2-error function. Initial reconstruction results are compared to gradient-based image reconstructions.

Paper Details

Date Published: 13 February 2007
PDF: 7 pages
Proc. SPIE 6434, Optical Tomography and Spectroscopy of Tissue VII, 643405 (13 February 2007); doi: 10.1117/12.699521
Show Author Affiliations
Alexander D. Klose, Columbia Univ. (United States)


Published in SPIE Proceedings Vol. 6434:
Optical Tomography and Spectroscopy of Tissue VII
Britton Chance; Robert R. Alfano; Bruce J. Tromberg; Mamoru Tamura; Eva Marie Sevick-Muraca, Editor(s)

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