Three-dimensional optical tomography

Margaret J. Eppstein; David E. Dougherty; Daniel J. Hawrysz; Eva Marie Sevick-Muraca

doi:10.1117/12.356792

15 July 1999 Three-dimensional optical tomography

Margaret J. Eppstein, David E. Dougherty, Daniel J. Hawrysz, Eva Marie Sevick-Muraca

Proceedings Volume 3597, Optical Tomography and Spectroscopy of Tissue III; (1999) https://doi.org/10.1117/12.356792
Event: BiOS '99 International Biomedical Optics Symposium, 1999, San Jose, CA, United States

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.

Citation Download Citation

Margaret J. Eppstein, David E. Dougherty, Daniel J. Hawrysz, and Eva Marie Sevick-Muraca "Three-dimensional optical tomography", Proc. SPIE 3597, Optical Tomography and Spectroscopy of Tissue III, (15 July 1999); https://doi.org/10.1117/12.356792

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