Quantitative measurement of attenuation coefficients of weakly scattering media using optical coherence tomography

Faber, Dirk J.; Meer, Freek J. van der; Aalders, Maurice C. G.; Leeuwen, Ton G. van

doi:10.1364/opex.12.004353

Cited by 279 publications

(269 citation statements)

References 19 publications

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“…The total light attenuation coefficient µ t of the tissue local volume, which is a sum of the absorption coefficient µ a and the scattering coefficient µ s , may be found by fitting the parameters of the approximating curve, calculated within the framework of the appropriate model, using the local A-scan slope of the OCT signal [18,118,[230][231][232].…”

Section: Optical Coherence Tomographymentioning

confidence: 99%

Optical clearing of biological tissues: prospects of application in medical diagnostics and phototherapy

Genina

Bashkatov

Sinichkin

et al. 2015

JBPE

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Abstract.A review of specific features and methods of optical clearing and related interaction of light with tissues is presented. Physical and molecular mechanisms of immersion, compression, and photodynamic/photothermal optical clearing of some fibrous and cellular tissues are discussed. The possibility of efficient control of the tissue optical properties, particularly, the reduction of light scattering in tissues is demonstrated, which facilitates the increased efficiency of various optical visualisation methods (optical biopsy) used in medical purposes. © 2015 Samara State Aerospace University (SSAU).Keywords: tissue, optical clearing, optical diagnostics, imaging. 1, 404-413 (1997). 5. C. L. Smithpeter, A. K. Dunn, A. J. Welch, and R. Richards-Kortum, "Penetration depth limits of in vivo confocal reflectance imaging," Appl. Opt. 37, 2749Opt. 37, -2754Opt. 37, (1998. 6. V. V. Tuchin, L. V. Wang, and D. A. Zimnyakov, Optical Polarization in Biomedical Applications, SpringerVerlag, New York, NY, USA (2006). 7. R. Drezek, A. Dunn, and R. Richards-Kortum, "Light scattering from cells: finite-difference time-domain simulations and goniometric measurements," Appl. Opt. 38(16), 3651-3661 (1999). 8. K. Sokolov, R. Drezek, K. Gossagee, and R. Richards-Kortum, "Reflectance spectroscopy with polarized light:is it sensitive to cellular and nuclear morphology," Opt. Express 5, 302-317 (1999). 9. D. W. Leonard, and K. M. Meek, "Refractive indices of the collagen fibrils and extrafibrillar material of the corneal stroma," Biophysical J. 72, 1382-1387 (1997). 10. A. G. Borovoi, E. I. Naats, and U. G. Oppel, "Scattering of light by a red blood cell," J. Biomed. Opt. 3, 364-372 (1998). 11. A. N. Yaroslavsky, A. V. Priezzhev, J. Rodriguez, I. V. Yaroslavsky, and H. Battarbee, "Optics of blood,"Chap. 2 in Handbook of Optical Biomedical Diagnostics, V. V. Tuchin, Ed., pp. 169-216, PM107 SPIE Press, Bellingham, WA, USA (2002). 12. G. Mazarevica, T. Freivalds, and A. Jurka, "Properties of erythrocyte light refraction in diabetic patients," J.Biomed. Opt. 7, 244-247 (2002). 13. M. Friebel, and M. Meinke, "Model function to calculate the refractive index of native hemoglobin in the wavelength range of 250-1100 nm dependent on concentration," Appl. Opt. 45(12), 2838-2842 (2006). Appl. Opt. 35(19), 3413-3420 (1996). 34. D. Zhu, J. Wang, Z. Zhi, X. Wen, and Q. Luo, "Imaging dermal blood flow through the intact rat skin with an optical clearing method," J. Biomed. Opt. 15, 026008 (2010 241. K. König, G. Flemming, and R. Hibst, "Laser-induced autofluorescence spectroscopy of dental caries lesion," Cell. Mol. Biol. 44, 1293-1300. 242. E. G. Borisova, T. T. Uzunov, and L. A. Avramov, "Early differentiation between caries and tooth demineralization using laser-induced autofluorescence spectroscopy," Lasers Surg. Med. 34, 249-253 (2004 -20(12), 1512-1516 (1984). 245. K. Konig, H. Schneckenburger, and R. Hibst, "Time-gated in vivo autofluorescence imaging of dental caries,"Cell. Mol. Biol. 45, 233-239 (1999). 246. E. Borisova, P. Tr...

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Section: Optical Coherence Tomographymentioning

confidence: 99%

Optical clearing of biological tissues: prospects of application in medical diagnostics and phototherapy

Genina

Bashkatov

Sinichkin

et al. 2015

JBPE

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“…The OCT signal attenuation coefficient is determined by a 2-parameter single exponential fit (attenuation rate and amplitude) over the region of the cuvette. It has been shown that this is a simple and valid model for the OCT signal attenuation [15]. The fitted attenuation coefficient is converted to µ s by subtracting the Intralipid concentration dependent optical absorption (0.136 mm −1 at 1300 nm wavelength for water [16] and negligible for the solid part of the Intralipid).…”

Section: Doppler Optical Coherence Tomographymentioning

confidence: 99%

Multiple and dependent scattering effects in Doppler optical coherence tomography

et al. 2010

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Doppler optical coherence tomography (OCT) is a technique to image tissue morphology and to measure flow in turbid media. In its most basic form, it is based on single (Mie) scattering. However, for highly scattering and dense media multiple and concentration dependent scattering can occur. For Intralipid solutions with varying scattering strength, the effect of multiple and dependent scattering on the OCT signal attenuation and Doppler flow is investigated. We observe a non-linear increase in the OCT signal attenuation rate and an increasingly more distorted Doppler OCT flow profile with increasing Intralipid concentration. The Doppler OCT attenuation and flow measurements are compared to Monte Carlo simulations and good agreement is observed. Based on this comparison, we determine that the single scattering attenuation coefficient µ s is 15% higher than the measured OCT signal attenuation rate. This effect and the distortion of the measured flow profile are caused by multiple scattering. The non-linear behavior of the single scattering attenuation coefficient with Intralipid concentration is attributed to concentration dependent scattering.

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“…The anisotropy factors of normal and cancer are larger than 0.8, which corresponds that tissue is generally considered to be highly forward scattering (g > 0.8) [24] . Anisotropy factors of 0.9 for tissue are very high because no correction of the OCT signal for the depth of focus of the sample arm optics and the focus position in the tissue [25,26] .…”

Section: Discussionmentioning

confidence: 99%

Optical Coherence Tomography for Quantitative Diagnosis in Nasopharyngeal carcinoma

Li¹

2017

J Nasopharyng Carcinoma

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Abstract:We tried to quantitatively diagnose the intrinsic differences in the optical properties of nasopharyngeal carcinoma from normal tissue by optical coherence tomography. The scattering coefficients and anisotropies are extracted by fitting the average a-scan attenuation curves based on the multiple scatter effect. The median scattering coefficients of epithelium are 2.2 mm −1 (IQR 1.5 to 2.5 mm −1 ) for normal versus 3.8 mm −1 (IQR 2.0 to 3.3 mm −1 ) for cancer tissue; of lamina propria are 2.9 mm −1 (IQR 1.5 to 2.5 mm −1 ) for normal versus 1.

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Quantitative measurement of attenuation coefficients of weakly scattering media using optical coherence tomography

Cited by 279 publications

References 19 publications

Optical clearing of biological tissues: prospects of application in medical diagnostics and phototherapy

Optical clearing of biological tissues: prospects of application in medical diagnostics and phototherapy

Multiple and dependent scattering effects in Doppler optical coherence tomography

Optical Coherence Tomography for Quantitative Diagnosis in Nasopharyngeal carcinoma

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