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Proceedings Paper

Three-dimensional optical tomography
Author(s): Margaret J. Eppstein; David E. Dougherty; Daniel J. Hawrysz; Eva Marie Sevick-Muraca
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Paper Abstract

We present a tomography method for fluorescence and absorption biomedical optical imaging which minimizes the computational burden of three-dimensional image reconstruction and enables data conditioning on the basis of variable and possibly spatially-correlated measurement and system noise. Specifically, we present three-dimensional images reconstructed from (i) synthetic frequency-domain measurements; (ii) finite difference solution to the diffusion equation employing partial current boundary conditions; (iii) a recursive, minimum variance, optimization algorithm employing a Bayesian approximate extended Kalman filter accounting for measurement and system noise; and (iv) a unique, data-driven zonation scheme to dynamically determine parameterization and accelerate convergence. Using a synthetic data set with 0.1¡ standard deviation Gaussian noise added to phase, we demonstrate the ability to image multiple distinct 0.5 cm diameter absorbing/fluorescing heterogeneities within a combined transillumination/reflectance geometry comprising 8 sources and 90 detectors. Reconstruction of absorption maps owing to spatial distribution of fluorophores that were discretized onto a 9x9x9 node grid required just over 4 minutes on a 350 MHz Pentium II computer.

Paper Details

Date Published: 15 July 1999
PDF: 9 pages
Proc. SPIE 3597, Optical Tomography and Spectroscopy of Tissue III, (15 July 1999); doi: 10.1117/12.356792
Show Author Affiliations
Margaret J. Eppstein, Univ. of Vermont (United States)
David E. Dougherty, Univ. of Vermont (United States)
Daniel J. Hawrysz, Purdue Univ. (United States)
Eva Marie Sevick-Muraca, Purdue Univ. (United States)

Published in SPIE Proceedings Vol. 3597:
Optical Tomography and Spectroscopy of Tissue III
Britton Chance; Robert R. Alfano; Bruce J. Tromberg, Editor(s)

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