29 June 2001 Three-dimensional optical image reconstruction from phantom and clinical data
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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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yong Xu, Nicusor Iftimia, 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); doi: 10.1117/12.434528; https://doi.org/10.1117/12.434528
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