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Proceedings Paper

Three-dimensional optical image reconstruction from phantom and clinical data
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Paper Abstract

A three-dimensional (3D) finite-element optical tomographic reconstruction algorithm based on a diffusion equation approximation is presented. The algorithm uses a regularized Newton method to update an initial (guess) optical property distribution iteratively in order to minimize an object function composed of a weighted sum of the squared difference between computed and measured data, and reconstructs the spatial distribution of the absorption and scattering coefficients of turbid media/tissues using DC data. Considering the memory requirements and computational cost for 3D reconstruction, the algorithm has been parallelized with Message-Passing Interface. We have conducted both phantom and in vivo clinical experiments to evaluate our parallelized three-dimensional reconstruction algorithm. The results show that 3D volumetric images of turbid media and in vivo tissues can be successfully reconstructed.

Paper Details

Date Published: 29 June 2001
PDF: 7 pages
Proc. SPIE 4250, Optical Tomography and Spectroscopy of Tissue IV, (29 June 2001); doi: 10.1117/12.434528
Show Author Affiliations
Yong Xu, Clemson Univ. (United States)
Nicusor Iftimia, Clemson Univ. (United States)
Huabei Jiang, Clemson Univ. (United States)


Published in SPIE Proceedings Vol. 4250:
Optical Tomography and Spectroscopy of Tissue IV
Britton Chance; Robert R. Alfano; Bruce J. Tromberg; Mamoru Tamura; Eva Marie Sevick-Muraca, Editor(s)

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