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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 52, Iss. 24 — Aug. 20, 2013
  • pp: 5985–5999

Time-domain geometrical localization of point-like fluorescence inclusions in turbid media with early photon arrival times

Julien Pichette, Jorge Bouza Domínguez, and Yves Bérubé-Lauzière  »View Author Affiliations


Applied Optics, Vol. 52, Issue 24, pp. 5985-5999 (2013)
http://dx.doi.org/10.1364/AO.52.005985


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Abstract

We introduce a novel approach for localizing a plurality of discrete point-like fluorescent inclusions embedded in a thick turbid medium using time-domain measurements. The approach uses early photon information contained in measured time-of-flight distributions originating from fluorescence emission. Fluorescence time point-spread functions (FTPSFs) are acquired with ultrafast time-correlated single photon counting after short pulse laser excitation. Early photon arrival times are extracted from the FTPSFs obtained from several source-detector positions. Each source-detector measurement allows defining a geometrical locus where an inclusion is to be found. These loci take the form of ovals in 2D or ovoids in 3D. From these loci a map can be built, with the maxima thereof corresponding to positions of inclusions. This geometrical approach is supported by Monte Carlo simulations performed for biological tissue-like media with embedded fluorescent inclusions. To validate the approach, several experiments are conducted with a homogeneous phantom mimicking tissue optical properties. In the experiments, inclusions filled with indocyanine green are embedded in the phantom and the fluorescence response to a short pulse of excitation laser is recorded. With our approach, several inclusions can be localized with low millimeter positional error. Our results support the approach as an accurate, efficient, and fast method for localizing fluorescent inclusions embedded in highly turbid media mimicking biological tissues. Further Monte Carlo simulations on a realistic mouse model show the feasibility of the technique for small animal imaging.

© 2013 Optical Society of America

OCIS Codes
(170.0170) Medical optics and biotechnology : Medical optics and biotechnology
(170.5270) Medical optics and biotechnology : Photon density waves
(170.6920) Medical optics and biotechnology : Time-resolved imaging
(110.0113) Imaging systems : Imaging through turbid media

ToC Category:
Medical Optics and Biotechnology

History
Original Manuscript: April 15, 2013
Revised Manuscript: June 25, 2013
Manuscript Accepted: July 23, 2013
Published: August 16, 2013

Virtual Issues
Vol. 8, Iss. 9 Virtual Journal for Biomedical Optics

Citation
Julien Pichette, Jorge Bouza Domínguez, and Yves Bérubé-Lauzière, "Time-domain geometrical localization of point-like fluorescence inclusions in turbid media with early photon arrival times," Appl. Opt. 52, 5985-5999 (2013)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-52-24-5985


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References

  1. R. Weissleder and V. Ntziachristos, “Shedding light onto live molecular targets,” Nat. Med. 9, 123–128 (2003). [CrossRef]
  2. A. Hielscher, “Optical tomographic imaging of small animals,” Curr. Opin. Biotechnol. 16, 79–88 (2005). [CrossRef]
  3. V. Ntziachristos, “Fluorescence molecular imaging,” Annu. Rev. Biomed. Eng. 8, 1–33 (2006). [CrossRef]
  4. R. E. Nothdurft, S. V. Patwardhan, W. Akers, Y. Ye, S. Achilefu, and J. P. Culver, “In vivo fluorescence lifetime tomography,” J. Biomed. Opt. 14, 024004 (2009). [CrossRef]
  5. J. Rao, A. Dragulescu-Andrasi, and H. Yao, “Fluorescence imaging in vivo: recent advances,” Curr. Opin. Biotechnol. 18, 17–25 (2007). [CrossRef]
  6. A. Corlu, R. Choe, T. Durduran, M. Rosen, M. Schweiger, S. Arridge, M. Schnall, and A. Yodh, “Three dimensional in vivo fluorescence diffuse optical tomography of breast cancer in humans,” Opt. Express 15, 6696–6716 (2007). [CrossRef]
  7. J. K. Willmann, N. van Bruggen, L. M. Dinkelborg, and S. S. Gambhir, “Molecular imaging in drug development,” Nat. Rev. Drug Discov. 7, 591–607 (2008). [CrossRef]
  8. A. D. Klose, “Radiative transfer of luminescence light in biological tissue,” in Light Scattering Reviews 4: Single Light Scattering and Radiative Transfer (Springer, 2009), Chap. 6, pp. 293–345.
  9. A. A. Bogdanov, V. Metelev, S. Zhang, and A. T. N. Kumar, “Sensing of transcription factor binding via cyanine dye pair fluorescence lifetime changes,” Mol. BioSyst. 8, 2166–2173 (2012). [CrossRef]
  10. C. J. Goergen, H. H. Chen, A. Bogdanov, D. E. Sosnovik, and A. T. N. Kumar, “In vivo fluorescence lifetime detection of an activatable probe in infarcted myocardium,” J. Biomed. Opt. 17, 056001 (2012). [CrossRef]
  11. M. B. Aldrich, R. Guilliod, C. E. Fife, E. A. Maus, L. Smith, J. C. Rasmussen, and E. M. Sevick-Muraca, “Lymphatic abnormalities in the normal contralateral arms of subjects with breast cancer-related lymphedema as assessed by near-infrared fluorescent imaging,” Biomed. Opt. Express 3, 1256–1265 (2012). [CrossRef]
  12. M. A. O’Leary, “Imaging with diffuse photon density waves,” Ph.D. thesis, University of Pennsylvania (1996).
  13. A. Klose, V. Ntziachristos, and A. Hielscher, “The inverse source problem based on the radiative transfer equation in optical molecular imaging,” J. Comput. Phys. 202, 323–345 (2005). [CrossRef]
  14. A. Klose and E. Larsen, “Light transport in biological tissue based on the simplified spherical harmonics equations,” J. Comput. Phys. 220, 441–470 (2006). [CrossRef]
  15. J. Bouza Domínguez and Y. Bérubé-Lauzière, “Light propagation from fluorescent probes in biological tissues by coupled time-dependent parabolic simplified spherical harmonics equations,” Biomed. Opt. Express 2, 817–837 (2011). [CrossRef]
  16. A. D. Klose and T. Poschinger, “Excitation-resolved fluorescence tomography with simplified spherical harmonics equations,” Phys. Med. Biol. 56, 1443 (2011). [CrossRef]
  17. F. Martelli, S. Del Bianco, A. Ismaelli, and G. Zaccanti, Light Propagation through Biological Tissue and Other Diffusive Media: Theory, Solutions, and Software (SPIE, 2009).
  18. A. Liemert and A. Kienle, “Comparison between radiative transfer theory and the simplified spherical harmonics approximation for a semi-infinite geometry,” Opt. Lett. 36, 4041–4043 (2011). [CrossRef]
  19. V. Ntziachristos and R. Weissleder, “Experimental three-dimensional fluorescence reconstruction of diffuse media by use of a normalized born approximation,” Opt. Lett. 26, 893–895 (2001). [CrossRef]
  20. A. T. Kumar, S. B. Raymond, G. Boverman, D. A. Boas, and B. J. Bacskai, “Time resolved fluorescence tomography of turbid media based on lifetime contrast,” Opt. Express 14, 12255–12270 (2006). [CrossRef]
  21. J. Bouza-Domínguez and Y. Bérubé-Lauzière, “Radiative transfer and optical imaging in biological media by low-order transport approximations: the simplified spherical polynomials (SP) approach,” in Light Scattering Reviews 8 (Springer/Praxis Publishing Ltd., 2013), Chap. 6, pp. 269–315.
  22. H. Dehghani, M. E. Eames, P. K. Yalavarthy, S. C. Davis, S. Srinivasan, C. M. Carpenter, B. W. Pogue, and K. D. Paulsen, “Near infrared optical tomography using NIRFAST: algorithm for numerical model and image reconstruction,” Commun. Numer. Methods Eng. 25, 711–732 (2009). [CrossRef]
  23. L. Montejo, H.-K. K. Kim, and A. H. Hielscher, “A finite-volume algorithm for modeling light transport with the time-independent simplified spherical harmonics approximation to the equation of radiative transfer,” Proc. SPIE 7896, 78960J (2011). [CrossRef]
  24. M. Niedre and V. Ntziachristos, “Comparison of fluorescence tomographic imaging in mice with early arriving and quasi-continuous-wave photons,” Opt. Lett. 35, 369–371 (2010). [CrossRef]
  25. M. J. Niedre, R. de Kleine, E. Aikawa, D. G. Kirsch, R. Weissleder, and V. Ntziachristos, “Early photon tomography allows fluorescence detection of lung carcinomas and disease progression in mice in vivo,” Proc. Natl. Acad. Sci. USA. 105, 19126–19131 (2008). [CrossRef]
  26. N. Valim, J. Brock, and M. Niedre, “Experimental measurement of time-dependant photon scatter for diffuse optical tomography,” J. Biomed. Opt. 15, 065006 (2010). [CrossRef]
  27. N. Valim, J. Brock, M. Leeser, and M. Niedre, “The effect of temporal impulse response on experimental reduction of photon scatter in time-resolved diffuse optical tomography,” Phys. Med. Biol. 58, 335–349 (2013). [CrossRef]
  28. F. Leblond, H. Dehghani, D. Kepshire, and B. W. Pogue, “Early photon fluorescence tomography: spatial resolution improvements and noise stability considerations,” J. Opt. Soc. Am. A 26, 1444–1457 (2009). [CrossRef]
  29. R. W. Holt, K. M. Tichauer, H. Dehghani, B. W. Pogue, and F. Leblond, “Multiple-gate time domain diffuse fluorescence tomography allows more sparse tissue sampling without compromising image quality,” Opt. Lett. 37, 2559–2561 (2012). [CrossRef]
  30. J. Chen, V. Venugopal, and X. Intes, “Monte Carlo based method for fluorescence tomographic imaging with lifetime multiplexing using time gates,” Biomed. Opt. Express 2, 871–886 (2011). [CrossRef]
  31. B. Zhang, X. Cao, F. Liu, X. Liu, X. Wang, and J. Bai, “Early photon fluorescence tomography of a heterogeneous mouse model with the telegraph equation,” Appl. Opt. 50, 5397–5407 (2011). [CrossRef]
  32. D. C. Comsa, T. J. Farrell, and M. S. Patterson, “Quantitative fluorescence imaging of point-like sources in small animals,” Phys. Med. Biol. 53, 5797–5814 (2008). [CrossRef]
  33. S.-H. Han and D. J. Hall, “Estimating the depth and lifetime of a fluorescent inclusion in a turbid medium using a simple time-domain optical method,” Opt. Lett. 33, 1035–1037 (2008). [CrossRef]
  34. J. Lakowicz, Principles of Fluorescence Spectroscopy, 3rd ed. (Springer, 2006).
  35. D. J. Hall, G. Ma, F. Lesage, and Y. Wang, “Simple time-domain optical method for estimating the depth and concentration of a fluorescent inclusion in a turbid medium,” Opt. Lett. 29, 2258–2260 (2004). [CrossRef]
  36. A. Da Silva, N. Djaker, N. Ducros, J.-M. Dinten, and P. Rizo, “Real time optical method for localization of inclusions embedded in turbid media,” Opt. Express 18, 7753–7762 (2010). [CrossRef]
  37. J. Wu, Y. Wang, L. Perelman, I. Itzkan, R. Dasari, and M. Feld, “Time-resolved multichannel imaging of fluorescent objects embedded in turbid media,” Opt. Lett. 20, 489–491 (1995). [CrossRef]
  38. J. Wu, L. Perelman, R. Dasari, and M. Feld, “Fluorescence tomographic imaging in turbid media using early arriving photons and laplace transforms,” PNAS Med. Sci. 94, 8783–8788 (1997).
  39. E. Lapointe, J. Pichette, and Y. Bérubé-Lauzière, “A multi-view time-domain noncontact diffuse optical tomography scanner with dual wavelength detection for intrinsic and fluorescence small animal imaging,” Rev. Sci. Instrum. 83, 063703 (2012). [CrossRef]
  40. Y. Bérubé-Lauzière and V. Robichaud, “Time-resolved fluorescence measurements for diffuse optical tomography using ultrafast time-correlated single photon counting,” Proc. SPIE 6372, 637206 (2006). [CrossRef]
  41. V. Robichaud and Y. Bérubé-Lauzière, “A wavefront intersection algorithm for time-of-flight noncontact diffuse optical tomography of fluorescent inclusions in thick turbid media,” Proc. SPIE 6796, 67960T (2008). [CrossRef]
  42. Y. Bérubé-Lauzière and V. Robichaud, “Time-of-flight noncontact fluorescence diffuse optical tomography with numerical constant fraction discrimination,” Proc. SPIE 6629, 66290Y (2007).
  43. J. Pichette, E. Lapointe, and Y. Bérubé-Lauzière, “Time-domain 3D localization of fluorescent inclusions in a thick scattering medium,” Proc. SPIE 7099, 709907 (2008). [CrossRef]
  44. J. Pichette, E. Lapointe, and Y. Bérubé-Lauzière, “Three-dimensional localization of discrete fluorescent inclusions from multiple tomographic projections in the time-domain,” Proc. SPIE 7174, 71741A (2009). [CrossRef]
  45. A. Laidevant, A. Da Silva, M. Berger, J. Boutet, J.-M. Dinten, and A. Boccara, “Analytical method for localizing a fluorescent inclusion in a turbid medium,” Appl. Opt. 46, 2131–2137 (2007). [CrossRef]
  46. D. Boas, “Diffuse photon probes of structural and dynamical properties of turbid media: theory and biomedical applications,” Ph.D. thesis (University of Pennsylvania, 1996).
  47. X. Li, M. O’Leary, D. Boas, and B. Chance, “Fluorescent diffuse photon density waves in homogeneous and heterogeneous turbid media: analytic solutions and applications,” Appl. Opt. 35, 3746–3758 (1996). [CrossRef]
  48. J. Ripoll, “Light diffusion in turbid media with biomedical application,” Ph.D. thesis (Universidad Autonoma de Madrid, 2000).
  49. L. V. Wang and H. Wu, Biomedical Optics: Principles and Imaging (Wiley Interscience, 2007).
  50. J. Ripoll, M. Nieto-Vesperinas, R. Weissleder, and V. Ntziachristos, “Fast analytical approximation for arbitrary geometries in diffuse optical tomography,” Opt. Lett. 27, 527–529 (2002). [CrossRef]
  51. R. Rajagopalan, P. Uetrecht, J. Bugaj, S. Achilefu, and R. Dorshow, “Stabilization of the optical tracer agent indocyanine green using noncovalent interactions,” Photochem. Photobiol. 71, 347–350 (2000). [CrossRef]
  52. W. Becker, Advanced Time-Correlated Single Photon Counting Techniques (Springer, 2005).
  53. W. Becker, The bh TCSPC Handbook, 5th ed. (Becker&Hickl GmbH, 2012).
  54. Q. Fang, “Mesh-based Monte Carlo (MMC),” mcx.sourceforge.net/cgi-bin/index.cgi?MMC (last consulted in December 2012).
  55. Q. Fang, “Mesh-based monte carlo method using fast ray-tracing in plucker coordinates,” Biomed. Opt. Express 1, 165–175 (2010). [CrossRef]
  56. Q. Fang and D. R. Kaeli, “Accelerating mesh-based Monte Carlo method on modern CPU architectures,” Biomed. Opt. Express 3, 3223–3230 (2012). [CrossRef]
  57. Q. Fang and D. A. Boas, “Tetrahedral mesh generation from volumetric binary and gray-scale images,” in Proceedings of the Sixth IEEE International Conference on Symposium on Biomedical Imaging: From Nano to Macro (IEEE, 2009), pp. 1142–1145.
  58. B. Dogdas, D. Stout, A. Chatziioannou, and R. Leahy, “Digimouse: a 3D whole body mouse atlas from CT and cryosection data,” Phys. Med. Biol. 52, 577–587 (2007). [CrossRef]
  59. S. Baldwin, “Compute Canada: advancing computational research,” J. Phys. 341, 012001 (2012). [CrossRef]
  60. X. Wang, B. Zhang, X. Cao, F. Liu, J. Luo, and J. Bai, “Acceleration of early photon fluorescence molecular tomography with graphics processing units,” Comput. Math. Methods Med. 2013, 297291 (2013). [CrossRef]

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