Three-dimensional optical image reconstruction from phantom and clinical data

Yong Xu; Nicusor Iftimia; Huabei Jiang

doi:10.1117/12.434528

29 June 2001 Three-dimensional optical image reconstruction from phantom and clinical data

Yong Xu, Nicusor Iftimia, Huabei Jiang

Proceedings Volume 4250, Optical Tomography and Spectroscopy of Tissue IV; (2001) https://doi.org/10.1117/12.434528
Event: BiOS 2001 The International Symposium on Biomedical Optics, 2001, San Jose, CA, United States

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.

Citation Download Citation

Yong Xu, Nicusor Iftimia, and Huabei Jiang "Three-dimensional optical image reconstruction from phantom and clinical data", Proc. SPIE 4250, Optical Tomography and Spectroscopy of Tissue IV, (29 June 2001); https://doi.org/10.1117/12.434528

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