Role of tissue structure in photon migration through breast tissues

Bevilacqua, Frédéric; Marquet, Pierre; Coquoz, Olivier; Depeursinge, Christian

doi:10.1364/ao.36.000044

Cited by 15 publications

(8 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The absorption of light in tissues is due to chromophores such as the heme pigment of hemoglobin, myoglobin, and bilirubin, the cytochrome pigments of the respiratory chain in the mitochondria, and melanin pigment [60,61]. The light scattering in tissues is due to discontinuities in refractive index on the microscopic level, such as the aqueous-lipid membrane interfaces surrounding and within each cell or the collagen fibrils within the extracellular matrix [60,61].…”

Section: Breast Tissue Imaging: Physical Basismentioning

confidence: 99%

“…For some categories of biological tissues, including human breasts, the hypothesis of an homogeneous medium containing evenly distributed light scatterers does not seem correct, indicating that the tissue heterogeneities have to be taken into account in order to model accurately the photon migration in biological media [61]. In this section we use our simulation technique to study the effect of random fluctuations in the absorption and reduced scattering factor of the medium.…”

Section: Random Fluctuationsmentioning

confidence: 99%

See 1 more Smart Citation

Computer simulation of time-resolved optical imaging of objects hidden in turbid media

et al. 1998

View full text Add to dashboard Cite

Section: Breast Tissue Imaging: Physical Basismentioning

confidence: 99%

Section: Random Fluctuationsmentioning

confidence: 99%

Computer simulation of time-resolved optical imaging of objects hidden in turbid media

et al. 1998

View full text Add to dashboard Cite

“…However, the accuracy of tissue measurements is subject to other major limitations due to, for example, their structure and heterogeneity. 29 Therefore more accurate calibration is not necessarily required for absolute tissue measurements, since we are mainly interested in observing optical-property differences between tissue physiological states.…”

mentioning

confidence: 99%

In vivo local determination of tissue optical properties: applications to human brain

et al. 1999

Self Cite

View full text Add to dashboard Cite

Local and superficial near-infrared ͑NIR͒ optical-property characterization of turbid biological tissues can be achieved by measurement of spatially resolved diffuse reflectance at small source-detector separations ͑Ͻ1.4 mm͒. However, in these conditions the inverse problem, i.e., calculation of localized absorption and the reduced scattering coefficients, is necessarily sensitive to the scattering phase function. This effect can be minimized if a new parameter of the phase function ␥, which depends on the first and the second moments of the phase function, is known. If ␥ is unknown, an estimation of this parameter can be obtained by the measurement, but the uncertainty of the absorption coefficient is increased. A spatially resolved reflectance probe employing multiple detector fibers ͑0.3-1.4 mm from the source͒ is described. Monte Carlo simulations are used to determine ␥, the reduced scattering and absorption coefficients from reflectance data. Probe performance is assessed by measurements on phantoms, the optical properties of which were measured by other techniques ͓frequency domain photon migration ͑FDPM͒ and spatially resolved transmittance͔. Our results show that changes in the absorption coefficient, the reduced scattering coefficient, and ␥ can be measured to within Ϯ0.005 mm Ϫ1, Ϯ0.05 mm Ϫ1 , and Ϯ0.2, respectively. In vivo measurements performed intraoperatively on a human skull and brain are reported for four NIR wavelengths ͑674, 811, 849, 956 nm͒ when the spatially resolved probe and FDPM are used. The spatially resolved probe shows optimum measurement sensitivity in the measurement volume immediately beneath the probe ͑typically 1 mm 3 in tissues͒, whereas FDPM typically samples larger regions of tissues. Optical-property values for human skull, white matter, scar tissue, optic nerve, and tumors are reported that show distinct absorption and scattering differences between structures and a dependence on the phase-function parameter ␥.

show abstract

“…It suggests a strategy to use differences in light-scattering patterns to distinguish between normal and dysplastic tissue. 18,19,21 The Richards-Kortum group, for example, combines organization and content in a fluorescence-based approach to the optical diagnosis of cervical cancer. 39,40 The light-scattering microscope can easily be automated to raster scan a sample or region of interest on a sample, which might enable applications in automated quantitative histology.…”

Section: Discussionmentioning

confidence: 99%

“…Unlike diffuse-optical tomography, some optical diagnostic techniques are sensitive to cellular length scales. [17][18][19] Pathologists, for example, see the earliest signs of disease by microscopic examination of structures. The hunt for a light-scattering signature of pathological microstructure has motivated studies of tissue model systems.…”

Section: Introductionmentioning

confidence: 99%

Microscopic origin of light scattering in tissue

Popp¹,

Valentine²,

Kaplan³

et al. 2003

Appl. Opt.

View full text Add to dashboard Cite

A newly designed instrument, the static light-scattering (SLS) microscope, which combines light microscopy with SLS, enables us to characterize local light-scattering patterns of thin tissue sections. Each measurement is performed with an illumination beam of 70-microm diameter. On these length scales, tissue is not homogeneous. Both structural ordering and small heterogeneities contribute to the scattering signal. Raw SLS data consist of a two-dimensional intensity distribution map I(theta, phi), showing the dependence of the scattered intensity I on the scattering angle theta and the azimuthal angle phi. In contrast to the majority of experiments and to simulations that consider only the scattering angle, we additionally perform an analysis of the azimuthal dependence I(phi). We estimate different contributions to the azimuthal scattering variation and show that a significant fraction of the azimuthal amplitude is the result of tissue structure. As a demonstration of the importance of the structure-dependent part of the azimuthal signal, we show that this function of the scattered light alone can be used to classify tissue types with surprisingly high specificity and sensitivity.

show abstract

Role of tissue structure in photon migration through breast tissues

Cited by 15 publications

References 24 publications

Computer simulation of time-resolved optical imaging of objects hidden in turbid media

Computer simulation of time-resolved optical imaging of objects hidden in turbid media

In vivo local determination of tissue optical properties: applications to human brain

Microscopic origin of light scattering in tissue

Contact Info

Product

Resources

About