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Proceedings Paper

A fast 3D image reconstruction method based on Monte-Carlo simulation for laminar optical tomography
Author(s): Mengyu Jia; Shanshan Cui; Xueying Chen; Huijuan Zhao; Feng Gao
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Paper Abstract

Laminar optical tomography (LOT) is a new mesoscopic functional optical imaging technique. Currently, the forward problem of LOT image reconstruction is generally solved on the basis of Monte-Carlo (MC) methods. However, considering the nonlinear nature of the image reconstruction in LOT, with the increasing number of source positions, methods based on MC takes too much computation time. Based on the scheme of trajectory translation and target voxel regression (TT&TVR) proposed by our group, this paper develops a fast 3D image reconstruction algorithm. The algorithm is applied to the absorption reconstruction of the layered inhomogeneous media. Results demonstrate that the reconstructing time is less than 15min with the X-Y-Z section of the sample subdivided into 50 × 50 × 10 voxels, and the target size and quantitativeness ratio can be obtained in a satisfying accuracy.

Paper Details

Date Published: 17 September 2014
PDF: 8 pages
Proc. SPIE 9230, Twelfth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2014), 923016 (17 September 2014); doi: 10.1117/12.2070206
Show Author Affiliations
Mengyu Jia, Tianjin Univ. (China)
Shanshan Cui, Tianjin Univ. (China)
Xueying Chen, Tianjin Univ. (China)
Huijuan Zhao, Tianjin Univ. (China)
Feng Gao, Tianjin Univ. (China)

Published in SPIE Proceedings Vol. 9230:
Twelfth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2014)
Qingming Luo; Lihong V. Wang; Valery V. Tuchin, Editor(s)

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