3D reconstruction of light flux distribution on arbitrary surfaces from 2D multi-photographic images
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 compl...
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Published in | Optics express Vol. 18; no. 19; p. 19876 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
13.09.2010
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ISSN | 1094-4087 1094-4087 |
DOI | 10.1364/OE.18.019876 |
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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. |
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AbstractList | 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.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. 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. |
Author | Chen, Duofang Liang, Jimin Gao, Xinbo Qu, Xiaochao Ma, Xiaopeng Li, Xiangsi Shen, Man Ripoll, Jorge Zhao, Xiaohui Tian, Jie Chen, Xueli |
Author_xml | – sequence: 1 givenname: Xueli surname: Chen fullname: Chen, Xueli – sequence: 2 givenname: Xinbo surname: Gao fullname: Gao, Xinbo – sequence: 3 givenname: Duofang surname: Chen fullname: Chen, Duofang – sequence: 4 givenname: Xiaopeng surname: Ma fullname: Ma, Xiaopeng – sequence: 5 givenname: Xiaohui surname: Zhao fullname: Zhao, Xiaohui – sequence: 6 givenname: Man surname: Shen fullname: Shen, Man – sequence: 7 givenname: Xiangsi surname: Li fullname: Li, Xiangsi – sequence: 8 givenname: Xiaochao surname: Qu fullname: Qu, Xiaochao – sequence: 9 givenname: Jimin surname: Liang fullname: Liang, Jimin – sequence: 10 givenname: Jorge surname: Ripoll fullname: Ripoll, Jorge – sequence: 11 givenname: Jie surname: Tian fullname: Tian, Jie |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/20940879$$D View this record in MEDLINE/PubMed |
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SubjectTerms | Algorithms Image Interpretation, Computer-Assisted - methods Imaging, Three-Dimensional - methods Light Photography - methods Photometry - methods Scattering, Radiation |
Title | 3D reconstruction of light flux distribution on arbitrary surfaces from 2D multi-photographic images |
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