Abstract

A method for measuring the diffusion coefficient of homogeneous and layered media, based on multidistance measurements of time-resolved reflectance, is proposed. The diffusion coefficient is retrieved from the logarithm between two measurements of reflectance at two different distances. The proposed procedure is simpler than others usually employed and also provides a reliable criterion for retrieval of information on the layered structure of a diffusive medium.

© 2000 Optical Society of America

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References

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  1. S. R. Arridge, M. Cope, and D. T. Delpy, Phys. Med. Biol. 37, 1531 (1992).
    [CrossRef] [PubMed]
  2. A. Kienle, T. Glanzmann, G. Wagnieres, and H. van de Bergh, Appl. Opt. 37, 6852 (1998).
    [CrossRef]
  3. F. Martelli, D. Contini, A. Taddeucci, and G. Zaccanti, Appl. Opt. 36, 4600 (1997).
    [CrossRef] [PubMed]
  4. F. Martelli, A. Sassaroli, and Y. Yamada, Proc. SPIE 3597, 79 (1999).
    [CrossRef]
  5. R. K. Wang and Y. A. Wickramasinghe, Appl. Opt. 37, 7342 (1998).
    [CrossRef]

1999

F. Martelli, A. Sassaroli, and Y. Yamada, Proc. SPIE 3597, 79 (1999).
[CrossRef]

1998

1997

1992

S. R. Arridge, M. Cope, and D. T. Delpy, Phys. Med. Biol. 37, 1531 (1992).
[CrossRef] [PubMed]

Arridge, S. R.

S. R. Arridge, M. Cope, and D. T. Delpy, Phys. Med. Biol. 37, 1531 (1992).
[CrossRef] [PubMed]

Contini, D.

Cope, M.

S. R. Arridge, M. Cope, and D. T. Delpy, Phys. Med. Biol. 37, 1531 (1992).
[CrossRef] [PubMed]

Delpy, D. T.

S. R. Arridge, M. Cope, and D. T. Delpy, Phys. Med. Biol. 37, 1531 (1992).
[CrossRef] [PubMed]

Glanzmann, T.

Kienle, A.

Martelli, F.

Sassaroli, A.

F. Martelli, A. Sassaroli, and Y. Yamada, Proc. SPIE 3597, 79 (1999).
[CrossRef]

Taddeucci, A.

van de Bergh, H.

Wagnieres, G.

Wang, R. K.

Wickramasinghe, Y. A.

Yamada, Y.

F. Martelli, A. Sassaroli, and Y. Yamada, Proc. SPIE 3597, 79 (1999).
[CrossRef]

Zaccanti, G.

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Figures (1)

Fig. 1
Fig. 1

Results of the two-parameter fitting procedure for a nonabsorbing slab with s0=4 mm and s1=100 mm, obtained for various values of ρ2 and for ρ1 fixed at 10 mm. Solid curves are the best linear regression lines.

Tables (1)

Tables Icon

Table 1 Parameters μsfit and Afit Retrieved from the Fit on MC Resultsa

Equations (5)

Equations on this page are rendered with MathJax. Learn more.

Φr,t=ν exp-μaνt4πDνt3/2exp-r2/4Dνt,
Rρ,t-hslabn,μa,D,ν,s,texp-ρ2/4Dνt,
Rρ,t=hl-slabs0,s1,μa0,μa1,D0,D1,n,ν0,t×exp-ρ2/4D0ν0t,
uhomt=lnRρ2,t/Rρ1,t=-ρ22-ρ12/4Dνt.
ulayert=lnRρ2,t/Rρ1,t=A-ρ22-ρ12/4D0νt.

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