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Proceedings Paper

Reconstruction in time-resolved optical computer tomography using an optimization approach
Author(s): Feng Gao; Hanben Niu; H. J. Zhao
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Paper Abstract

Time-resolved optical computer tomographic imaging has received considerably interest recently because of its non- invasiveness and non-destructiveness to biological tissue, and several attempts have been made for the implementation. The image recovery algorithm described in this paper is based on the finite-element method solution to the diffusion equation as the photon transport model. By formulating image reconstruction as an optimization problem with the objective function expressed by the error norm between actual and modeled measurement sets, this algorithm incorporates a direct search optimization method. Rotating Coordinates Method, into the solution strategy to avoid excessive computation of the time-consuming forward problem. Several numerically simulated results for the images of the absorption and scattering coefficient distribution within a circular tissue, reconstructed from the integrated intensity, the mean time of photon flight or their weighted sum, are given. The influence of the numbers of stimulating sources and boundary detection points on the resulting images is discussed. Finally, this paper concludes that used reconstruction algorithm is feasible but needs to be improved in its accuracy and efficiency.

Paper Details

Date Published: 28 May 1997
PDF: 9 pages
Proc. SPIE 2869, 22nd International Congress on High-Speed Photography and Photonics, (28 May 1997); doi: 10.1117/12.273474
Show Author Affiliations
Feng Gao, Xi'an Institute of Optics and Precision Mechanics (China)
Hanben Niu, Xi'an Institute of Optics and Precision Mechanics (China)
H. J. Zhao, Xi'an Institute of Optics and Precision Mechanics (China)

Published in SPIE Proceedings Vol. 2869:
22nd International Congress on High-Speed Photography and Photonics
Dennis L. Paisley; ALan M. Frank, Editor(s)

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