All-optical quantitative framework for bioluminescence tomography with non-contact measurement
In this contribution, we present an all-optical quantitative framework for bioluminescence tomography with non-contact measurement. The framework is comprised of four indispensable steps: extraction of the geometrical structures of the subject, light flux reconstruction on arbitrary surface, calibra...
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| Published in | International journal of automation and computing Vol. 9; no. 1; pp. 72 - 80 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Heidelberg
Institute of Automation, Chinese Academy of Sciences
01.02.2012
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1476-8186 2153-182X 1751-8520 2153-1838 |
| DOI | 10.1007/s11633-012-0618-4 |
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| Abstract | In this contribution, we present an all-optical quantitative framework for bioluminescence tomography with non-contact measurement. The framework is comprised of four indispensable steps: extraction of the geometrical structures of the subject, light flux reconstruction on arbitrary surface, calibration and quantification of the surface light flux and internal bioluminescence reconstruction. In particular, the geometrical structures are retrieved using a completely optical method and captured under identical viewing conditions with the bioluminescent images. As a result, the proposed framework avoids the utilization of computed tomography or magnetic resonance imaging to provide the geometrical structures. On the basis of experimental measurements, we evaluate the performance of the proposed all-optical quantitative framework using a mouse shaped phantom. Preliminary result reveals the potential and feasibility of the proposed framework for bioluminescence tomography. |
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| AbstractList | In this contribution, we present an All-optical quantitative framework for bioluminescence tomography with non-contact measurement. The framework is comprised of four indispensable steps: extraction of the geometrical structures of the subject, light flux reconstruction on arbitrary surface, calibration and quantification of the surface light flux and internal bioluminescence reconstruction. In particular, the geometrical structures are retrieved using a completely optical method and captured under identical viewing conditions with the bioluminescent images. As a result, the proposed framework avoids the utilization of computed tomography or magnetic resonance imaging to provide the geometrical structures. On the basis of experimental measurements, we evaluate the performance of the proposed all-optical quantitative framework using a mouse shaped phantom. Preliminary result reveals the potential and feasibility of the proposed framework for bioluminescence tomography.[PUBLICATION ABSTRACT] In this contribution, we present an all-optical quantitative framework for bioluminescence tomography with non-contact measurement. The framework is comprised of four indispensable steps: extraction of the geometrical structures of the subject, light flux reconstruction on arbitrary surface, calibration and quantification of the surface light flux and internal bioluminescence reconstruction. In particular, the geometrical structures are retrieved using a completely optical method and captured under identical viewing conditions with the bioluminescent images. As a result, the proposed framework avoids the utilization of computed tomography or magnetic resonance imaging to provide the geometrical structures. On the basis of experimental measurements, we evaluate the performance of the proposed all-optical quantitative framework using a mouse shaped phantom. Preliminary result reveals the potential and feasibility of the proposed framework for bioluminescence tomography. |
| Author | Zhao, Heng Chen, Duo-Fang Chen, Xue-Li Liang, Ji-Min Qu, Xiao-Chao Wang, Xiao-Rui |
| Author_xml | – sequence: 1 givenname: Xue-Li surname: Chen fullname: Chen, Xue-Li organization: Life Sciences Research Center, School of Life Sciences and Technology, Xidian University – sequence: 2 givenname: Heng surname: Zhao fullname: Zhao, Heng organization: Life Sciences Research Center, School of Life Sciences and Technology, Xidian University – sequence: 3 givenname: Xiao-Chao surname: Qu fullname: Qu, Xiao-Chao organization: Life Sciences Research Center, School of Life Sciences and Technology, Xidian University – sequence: 4 givenname: Duo-Fang surname: Chen fullname: Chen, Duo-Fang organization: Life Sciences Research Center, School of Life Sciences and Technology, Xidian University – sequence: 5 givenname: Xiao-Rui surname: Wang fullname: Wang, Xiao-Rui organization: School of Technical Physics, Xidian University – sequence: 6 givenname: Ji-Min surname: Liang fullname: Liang, Ji-Min email: jimleung@mail.xidian.edu.cn organization: Life Sciences Research Center, School of Life Sciences and Technology, Xidian University |
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| CitedBy_id | crossref_primary_10_1016_j_neucom_2014_03_052 crossref_primary_10_1364_JOSAA_30_002572 crossref_primary_10_1088_0957_0233_24_10_105405 |
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| Keywords | non-contact quantitative framework bioluminescence tomography surface extraction All-optical |
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| SubjectTerms | Bioluminescence CAE) and Design Calibration Computation Computed tomography Computer Applications Computer-Aided Engineering (CAD Control Engineering Feasibility Flux Image reconstruction Magnetic resonance imaging Mechatronics Optics Reconstruction Robotics Tomography Utilization |
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| Title | All-optical quantitative framework for bioluminescence tomography with non-contact measurement |
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