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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics

| EXPLORING THE INTERFACE OF LIGHT AND BIOMEDICINE

  • Editor: Gregory W. Faris
  • Vol. 4, Iss. 8 — Jul. 30, 2009

Optical fluence distribution study in tissue in dark-field confocal photoacoustic microscopy using a modified Monte Carlo convolution method

Zhixing Xie, Lihong V. Wang, and Hao F. Zhang  »View Author Affiliations


Applied Optics, Vol. 48, Issue 17, pp. 3204-3211 (2009)
http://dx.doi.org/10.1364/AO.48.003204


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Abstract

We have modified the existing convolution method of the Monte Carlo simulation for finite photon beams with both translational and rotational invariance. The modified convolution method was applied to simulate the optical fluence distribution in tissue in dark-field confocal photoacoustic microscopy. We studied the influence of the size of the dark field and the illumination incident angle on the depth position of the effective optical focus (the region with the highest fluence) and the fluence ratio (the ratio of the optical fluence at the effective optical focus inside the tissue to the optical fluence on the tissue surface along the ultrasonic axis). Within the reach of diffuse photons, the depth position of the effective optical focus increases with the size of the dark field and is much less sensitive to the incident angle. The findings show that, while the fluence at the effective optical focus decreases, the fluence ratio increases with the size of the dark field. The incident angle has a weaker influence on the fluence ratio than the size of the dark field does. An incident angle between 30 and 50 degrees gives the highest fluence at the effective optical focus.

© 2009 Optical Society of America

OCIS Codes
(120.3890) Instrumentation, measurement, and metrology : Medical optics instrumentation
(170.3660) Medical optics and biotechnology : Light propagation in tissues

ToC Category:
Medical Optics and Biotechnology

History
Original Manuscript: August 22, 2008
Revised Manuscript: May 7, 2009
Manuscript Accepted: May 13, 2009
Published: June 5, 2009

Virtual Issues
Vol. 4, Iss. 8 Virtual Journal for Biomedical Optics

Citation
Zhixing Xie, Lihong V. Wang, and Hao F. Zhang, "Optical fluence distribution study in tissue in dark-field confocal photoacoustic microscopy using a modified Monte Carlo convolution method," Appl. Opt. 48, 3204-3211 (2009)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=ao-48-17-3204


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References

  1. M. Xu and L. V. Wang, “Photoacoustic imaging in biomedicine,” Rev. Sci. Instrum. 77, 041101-1-041101-22 (2006). [CrossRef]
  2. L. V. Wang, “Tutorial on photoacoustic microscopy and computed tomography,” IEEE J. Sel. Top. Quantum Electron. 14, 171-179 (2008). [CrossRef]
  3. K. Maslov, G. Stoica, and L. V. Wang, “In vivo dark-field reflection-mode photoacoustic microscopy,” Opt. Lett. 30, 625-627 (2005). [CrossRef] [PubMed]
  4. H. F. Zhang, K. Maslov, G. Stoica, and L. V. Wang, “Functional photoacoustic microscopy for high-resolution and noninvasive in vivo imaging,” Nat. Biotechnol. 24, 848-851(2006). [CrossRef] [PubMed]
  5. H. F. Zhang, K. Maslov, M. Li, G. Stoica, and L. V. Wang, “In vivo volumetric imaging of subcutaneous microvasculature by photoacoustic microscopy,” Opt. Express 14, 9317-9323 (2006). [CrossRef] [PubMed]
  6. H. F. Zhang, K. Maslov, M. Sivaramakrishnan, G. Stoica, and L. V. Wang, “Imaging of hemoglobin oxygen saturation variations in single vessels in vivo using photoacoustic microscopy,” Appl. Phys. Lett. 90, 053901-1-053901-3 (2007).
  7. H. F. Zhang, K. Maslov, and L. V. Wang, “In vivo imaging of subcutaneous structures using functional photoacoustic microscopy,” Nat. Protocols 2, 797-804 (2007). [CrossRef]
  8. L. V. Wang and G. Liang, “Absorption distribution of an optical beam focused into a turbid medium,” Appl. Opt. 38, 4951-4958 (1999). [CrossRef]
  9. L.-H. Wang, S. L. Jacques, and L. Zheng, “MCML--Monte Carlo modeling of light transport in multi-layered tissues,” Comput. Methods Programs Biomed. 47, 131-146 (1995). [CrossRef] [PubMed]
  10. S. T. Flock, M. S. Patterson, B. C. Wilson, and D. R. Wyman, “Monte-Carlo modeling of light-propagation in highly scattering tissue. 1. Model prediction and comparison with diffusion theory,” IEEE Trans. Biomed. Eng. 36, 1162-1168(1989). [CrossRef] [PubMed]
  11. S. T. Flock, B. C. Wilson, and M. S. Patterson, “Monte-Carlo modeling of light-propagation in highly scattering tissue. 2. Comparison with measurements in phantoms,” IEEE Trans. Biomed. Eng. 36, 1169-1173 (1989). [CrossRef] [PubMed]
  12. S. A. Prahl, M. Keijzer, S. L. Jacques, and A. J. Welch, “A Monte Carlo model of light propagation in tissue,” Proc. SPIE IS 5, 102-111 (1989).
  13. L. Wang, S. L. Jacques, and L. Zheng, “CONV--convolution for responses to a finite diameter photon beam incident on multi-layered tissues,” Comput. Methods Programs Biomed. 54, 141-150 (1997). [CrossRef]
  14. Q. Liu and N. Ramanujam, “Scaling method for fast Monte Carlo simulation of diffuse reflectance spectra from multilayered turbid media,” J. Opt. Soc. Am. A 24, 1011-1025(2007). [CrossRef]
  15. M. C. Skala, G. M. Palmer, K. M. Vrotsos, A. Gendron-Fitzpatrick, and N. Ramanujam, “Comparison of a physical model and principal component analysis for the diagnosis of epithelial neoplasias in vivo using diffuse reflectance spectroscopy,” Opt. Express 15, 7863-7875 (2007). [CrossRef] [PubMed]
  16. A. Wang, V. Nammalvar, and R. Drezek, “Targeting spectral signatures of progressively dysplastic stratified epithelia using angularly variable fiber geometry in reflectance Monte Carlo simulations,” J. Biomed. Opt. 12, 044012-1-044012-14 (2007). [CrossRef]
  17. D. Arifler, C. MacAulay, M. Follen, and R. Richards-Kortum, “Spatially resolved reflectance spectroscopy for diagnosis of cervical precancer: Monte Carlo modeling and comparison to clinical measurements,” J. Biomed. Opt. 11, 064027-1-064027-16 (2006). [CrossRef]
  18. R. K. Wang, “Signal degradation by multiple scattering in optical coherence tomography of dense tissue: a Monte Carlo study,” Phys. Med. Biol. 47, 2281-2299 (2002). [CrossRef] [PubMed]
  19. Z. Song, K. Dong, X. H. Hu, and J. Q. Lu, “Monte Carlo simulation of converging laser beams propagating in biological tissue,” Appl. Opt. 38, 2944-2949 (1999). [CrossRef]
  20. J. Q. Lu, X. H. Hu, and K. Dong, “Modeling of the rough-interface effect on a converging light beam,” Appl. Opt. 39, 5890-5897 (2000). [CrossRef]
  21. “American national standard for safe use of lasers,” ANSI Standard Z136.1-2007 (Laser Institute of America, 2007).
  22. L. V. Wang, “Prospects of photoacoustic tomography,” Med. Phys. 35, 5758-5767 (2008). [CrossRef]

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