TY - JOUR
T1 - Three-dimensional optical tomography with the equation of radiative transfer
AU - Abdoulaev, Gassan S.
AU - Hielscher, Andreas H.
N1 - Funding Information:
We would like to thank Avraham Bluestone and Dr. Alexander Klose, both with the Dept. of Biomedical Engineering, Columbia University, New York, NY, for many fruitful discussions concerning inverse problems and adjoint differentiation. This work was supported in part by the National Institute of Arthritis and Musculoskeletal Diseases, a division of the the National Institutes of Health (R01-AR46255), the Whitaker Foundation (98-0244), and the New York Council Speaker’s Fund for Biomedical Research: Towards the Science of Patient Care.
PY - 2003/10
Y1 - 2003/10
N2 - We report on the derivation and implementation of the first three-dimensional optical tomographic image reconstruction scheme that is based on the time-independent equation of radiative transfer (ERT) and allows for arbitrarily shaped medium boundaries and arbitrary spatial material distributions. The scheme builds on the concept of model-based iterative image reconstruction, in which a forward model provides prediction of detector readings, and a gradient-based updating scheme minimizes an appropriately defined objective function. The forward model is solved by using an even-parity formulation of the ERT, which lends itself to a finite-element discretization method. The finite-element technique provides the suitable framework for predicting light propagation in arbitrarily shaped three-dimensional media. For an efficient way of calculating the gradient of the objective function we have implemented an adjoint differentiation scheme. Initial reconstruction results using synthetic data from simple media and a three-dimensional mesh of the human forehead illustrate the performance of the code.
AB - We report on the derivation and implementation of the first three-dimensional optical tomographic image reconstruction scheme that is based on the time-independent equation of radiative transfer (ERT) and allows for arbitrarily shaped medium boundaries and arbitrary spatial material distributions. The scheme builds on the concept of model-based iterative image reconstruction, in which a forward model provides prediction of detector readings, and a gradient-based updating scheme minimizes an appropriately defined objective function. The forward model is solved by using an even-parity formulation of the ERT, which lends itself to a finite-element discretization method. The finite-element technique provides the suitable framework for predicting light propagation in arbitrarily shaped three-dimensional media. For an efficient way of calculating the gradient of the objective function we have implemented an adjoint differentiation scheme. Initial reconstruction results using synthetic data from simple media and a three-dimensional mesh of the human forehead illustrate the performance of the code.
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U2 - 10.1117/1.1587730
DO - 10.1117/1.1587730
M3 - Article
AN - SCOPUS:0346150120
SN - 1017-9909
VL - 12
SP - 594
EP - 601
JO - Journal of Electronic Imaging
JF - Journal of Electronic Imaging
IS - 4
ER -