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Proceedings Paper

Near-infrared optical imaging of human brain based on the semi-3D reconstruction algorithm
Author(s): Ming Liu; Wei Meng; Zhuanping Qin; Xiaoqing Zhou; Huijuan Zhao; Feng Gao
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Paper Abstract

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.

Paper Details

Date Published: 25 March 2013
PDF: 8 pages
Proc. SPIE 8578, Optical Tomography and Spectroscopy of Tissue X, 85782S (25 March 2013); doi: 10.1117/12.2001008
Show Author Affiliations
Ming Liu, Tianjin Univ. (China)
Wei Meng, Tianjin Univ. (China)
Zhuanping Qin, Tianjin Univ. (China)
Xiaoqing Zhou, Tianjin Univ. (China)
Huijuan Zhao, Tianjin Univ. (China)
Tianjin Key Lab. of Biomedical Detecting Techniques and Instruments (China)
Feng Gao, Tianjin Univ. (China)
Tianjin Key Lab. of Biomedical Detecting Techniques and Instruments (China)

Published in SPIE Proceedings Vol. 8578:
Optical Tomography and Spectroscopy of Tissue X
Bruce J. Tromberg; Arjun G. Yodh; Eva Marie Sevick-Muraca, Editor(s)

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