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Molecular Optical Simulation Environment

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Molecular Imaging

Part of the book series: Advanced Topics in Science and Technology in China ((ATSTC))

Abstract

With the rapid development of biomolecular technology, especially fluorescence labeling, optical imaging can be used for monitoring molecular and cellular events in vivo non-invasively and dynamically. In vivo optical imaging provides the technology for exploring pathology, clinical diagnostics, monitoring and evaluation of the treatment of fatal diseases, and it also establishes a reliable basis for new medical instrument development.

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References

  1. Li, H., J. Tian, J. Luo, Y. Lü & W. Cong (2006). “Design and implementation of an optical simulation environment for bioluminescent tomography studies”, Progress in Natural Science 17(1): 87–94.

    Article  Google Scholar 

  2. Li, H., J. Tian, F. Zhu, W. Cong, L. V. Wang, E. A. Hoffman & G. Wang (2004). “A Mouse Optical Simulation Environment (MOSE) to investigate bioluminescent phenomena in the living mouse with the Monte Carlo method”, Academic Radiology 11(9): 1029–1038.

    Article  PubMed  Google Scholar 

  3. Lippman, S. B. & J. Lajoie (1998). C++ Primer (3rd Edition). Addison-Wesley.

    Google Scholar 

  4. Lippman, S. B., J. Lajoie & B. E. Moo (1998). C++ Primer (4th Edition). Addison-Wesley.

    Google Scholar 

  5. Young, M. J. (1999). Mastering Visual C++ 6.0. Sybex Inc.

    Google Scholar 

  6. Tan, H. Q. (2004). C++ Program Designing. Tsinghua University Press.

    Google Scholar 

  7. Tian, J., M. C. Zhao & H. G. He (2004). Development and Implementation of Medical Imaging Toolkit. Tsinghua University Press.

    Google Scholar 

  8. Wright, R. S. & M. Sweet (1999). OpenGL SuperBible (2nd Edition). Pearson Education.

    Google Scholar 

  9. Kurosawa, T. (1996). “Monte Carlo calculation of hot electron problems”, Journal of the Physical Society of Japan 21: 424–426.

    Google Scholar 

  10. Wilson, B. C. & G. Adam. (1983). “A Monte Carlo model for the absorption and flux distributions of light in tissue”, Medical Physics 10: 824–830.

    Article  PubMed  CAS  Google Scholar 

  11. Prahl, S. A., M. Keijzer, S. L. Jacques & A. J. Welch (1989). “A Monte Carlo model of light propagation in tissue”, SPIE Institute Series 5: 102–111.

    Google Scholar 

  12. Key, H., E. R. Davies, P. C. Jackson & P. N. T. Wells (1991). “Monte Carlo modeling of light propagation in breast tissue”, Physics in Medicine and Biology 36: 591–602.

    Article  PubMed  CAS  Google Scholar 

  13. Chatigny, S., M. Morin, D. Asselin, Y. Painchaud & P. Beaudry (1999). “Hybrid Monte Carlo for photon transport through optically thick scattering media”, Applied Optics 38(28): 6075–6086.

    Article  PubMed  CAS  Google Scholar 

  14. Yao, G. & L. V. Wang (1999). “Monte Carlo simulation of an optical coherence tomography signal in homogeneous turbid media”, Physics in Medicine and Biology 44(9): 2307–2320.

    Article  PubMed  CAS  Google Scholar 

  15. Testorf, M., U. Österberg, B. Pogue & K. Paulsen (1999). “Sampling of timeand frequency-domain signals in Monte Carlo simulations of photon migration”, Applied Optics 38(1): 236–245.

    Article  PubMed  CAS  Google Scholar 

  16. Wang, X., G. Yao & L. V. Wang (2002). “Monte Carlo model and single-scattering approximation of the propagation of polarized light in turbid media containing glucose”, Applied Optics 41(4): 792–801.

    Article  PubMed  Google Scholar 

  17. Hayashi, T., Y. Kashio & E. Okada (2003). “Hybrid Monte Carlo-diffusion method for light propagation in tissue with a low-scattering region”, Applied Optics 42(16): 2888–2896.

    Article  PubMed  Google Scholar 

  18. Xu, K. X., F. Gao & H. J. Zhao (2007). Biomedical Photonics. Science Press.

    Google Scholar 

  19. Wang, L. V., S. L. Jacques & L. Zheng (1995). “MCML-Monte Carlo modeling of light transport in multi-layered tissues”, Computer Methods and Programs in Biomedicine 47: 131–146.

    Article  PubMed  CAS  Google Scholar 

  20. Jacques, S. L. & L. V. Wang (1995). “Monte Carlo modeling of light transport in tissues, in optical-thermal response of laser-irradiated tissue”, in A. J. Welch & M. J. C. van Gemert (ed.). Optical Thermal Response of Laser Irradiated Tissue. Plenum Press: 73–100.

    Google Scholar 

  21. Tian, Q., Y. B. Liao & L. Q. Sun (2006). Engineering Optics. Tsinghua University Press.

    Google Scholar 

  22. Bai, Y. Z. & W. Q. Jin (2006). Photoelectronic Imaging Principles and Technology. Beijing Institute of Technology Press.

    Google Scholar 

  23. Ripoll, J., R. B. Schulz & V. Ntziachristos (2004). “Free-space propagation of diffuse light: theory and experiments”, Physical Review Letters 91(10): 103901-1–4.

    Google Scholar 

  24. Lorensen, W. & H. Cline (1987). “Marching cubes: a high resolution 3D surface construction algorithm”, ACM Computer Graphics 21(4): 163–170.

    Article  Google Scholar 

  25. Garland, M. & P. Heckbert (1997). “Surface simplification using quadric error bounds”, SIGGRAPH’97 Conference Proceedings 209–216.

    Google Scholar 

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© 2013 Zhejiang University Press, Hangzhou and Springer-Verlag Berlin Heidelberg

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Tian, J., Liang, J., Chen, X., Qu, X. (2013). Molecular Optical Simulation Environment. In: Molecular Imaging. Advanced Topics in Science and Technology in China. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34303-2_2

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