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从二维多幅摄影图像对任意表面上光通量分布进行三维重建。

3D reconstruction of light flux distribution on arbitrary surfaces from 2D multi-photographic images.

作者信息

Chen Xueli, Gao Xinbo, Chen Duofang, Ma Xiaopeng, Zhao Xiaohui, Shen Man, Li Xiangsi, Qu Xiaochao, Liang Jimin, Ripoll Jorge, Tian Jie

机构信息

Life Sciences Research Center, School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China.

出版信息

Opt Express. 2010 Sep 13;18(19):19876-93. doi: 10.1364/OE.18.019876.

DOI:10.1364/OE.18.019876
PMID:20940879
Abstract

Optical tomography can demonstrate accurate three-dimensional (3D) imaging that recovers the 3D spatial distribution and concentration of the luminescent probes in biological tissues, compared with planar imaging. However, the tomographic approach is extremely difficult to implement due to the complexity in the reconstruction of 3D surface flux distribution from multi-view two dimensional (2D) measurements on the subject surface. To handle this problem, a novel and effective method is proposed in this paper to determine the surface flux distribution from multi-view 2D photographic images acquired by a set of non-contact detectors. The method is validated with comparison experiments involving both regular and irregular surfaces. Reconstruction of the inside probes based on the reconstructed surface flux distribution further demonstrates the potential of the proposed method in its application in optical tomography.

摘要

与平面成像相比,光学断层扫描能够呈现精确的三维(3D)成像,可恢复生物组织中发光探针的三维空间分布和浓度。然而,由于从对象表面的多视角二维(2D)测量重建三维表面通量分布非常复杂,断层扫描方法极难实施。为解决这个问题,本文提出了一种新颖有效的方法,用于从一组非接触探测器获取的多视角二维摄影图像确定表面通量分布。该方法通过涉及规则和不规则表面的对比实验得到了验证。基于重建的表面通量分布对内部探针进行重建,进一步证明了所提方法在光学断层扫描应用中的潜力。

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