25 March 2013 Near-infrared optical imaging of human brain based on the semi-3D reconstruction algorithm
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In the non-invasive brain imaging with near-infrared light, precise head model is of great significance to the forward model and the image reconstruction. To deal with the individual difference of human head tissues and the problem of the irregular curvature, in this paper, we extracted head structure with Mimics software from the MRI image of a volunteer. This scheme makes it possible to assign the optical parameters to every layer of the head tissues reasonably and solve the diffusion equation with the finite-element analysis. During the solution of the inverse problem, a semi-3D reconstruction algorithm is adopted to trade off the computation cost and accuracy between the full 3-D and the 2-D reconstructions. In this scheme, the changes in the optical properties of the inclusions are assumed either axially invariable or confined to the imaging plane, while the 3-D nature of the photon migration is still retained. This therefore leads to a 2-D inverse issue with the matched 3-D forward model. Simulation results show that comparing to the 3-D reconstruction algorithm, the Semi-3D reconstruction algorithm cut 27% the calculation time consumption.
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Ming Liu, Ming Liu, Wei Meng, Wei Meng, Zhuanping Qin, Zhuanping Qin, Xiaoqing Zhou, Xiaoqing Zhou, Huijuan Zhao, Huijuan Zhao, Feng Gao, Feng Gao, "Near-infrared optical imaging of human brain based on the semi-3D reconstruction algorithm", Proc. SPIE 8578, Optical Tomography and Spectroscopy of Tissue X, 85782S (25 March 2013); doi: 10.1117/12.2001008; https://doi.org/10.1117/12.2001008

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