Reconstruction in time-resolved optical computer tomography using an optimization approach

Feng Gao; Hanben Niu; H. J. Zhao

doi:10.1117/12.273474

28 May 1997 Reconstruction in time-resolved optical computer tomography using an optimization approach

Feng Gao, Hanben Niu, H. J. Zhao

Proceedings Volume 2869, 22nd International Congress on High-Speed Photography and Photonics; (1997) https://doi.org/10.1117/12.273474
Event: 22nd International Congress on High-Speed Photography and Photonics, 1996, Santa Fe, NM, United States

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.

Citation Download Citation

Feng Gao, Hanben Niu, and H. J. Zhao "Reconstruction in time-resolved optical computer tomography using an optimization approach", Proc. SPIE 2869, 22nd International Congress on High-Speed Photography and Photonics, (28 May 1997); https://doi.org/10.1117/12.273474

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KEYWORDS

Tissue optics

Computed tomography

Reconstruction algorithms

Genetic algorithms

Image restoration

Optimization (mathematics)

Finite element methods

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