Diffusing-wave spectroscopy in randomly inhomogeneous media with spatially localized scatterer flows

Skipetrov, S. E.; Meglinskii, I V

doi:10.1134/1.558523

Cited by 28 publications

(25 citation statements)

References 20 publications

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“…If the light-scattering sample is nonergodic (say, the sample or some part of it is solid-like) additional efforts, e.g. translational or rotational motion of the sample during the measurement, are necessary in order to obtain · · · E [29,[33][34][35]. Similar arguments hold for the role of nonergodicity in standard DLS experiments [47][48][49][50][51][52][53].…”

Section: Introductionmentioning

confidence: 87%

“…It has been demonstrated that DWS can be used to image macroscopic static and dynamic heterogeneities in turbid media [29][30][31][32][33][34][35]. In 1995, Mason and Weitz have suggested that the motion of colloidal particles, characterized by DWS, can be directly related to the viscoelasticity of the surrounding medium (the corresponding experimental technique is sometimes called "DWS-microrheology") [36].…”

Section: Introductionmentioning

confidence: 99%

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Diffusing-wave spectroscopy of nonergodic media

et al. 2001

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We introduce an elegant method which allows the application of diffusing-wave spectroscopy (DWS) to nonergodic, solidlike samples. The method is based on the idea that light transmitted through a sandwich of two turbid cells can be considered ergodic even though only the second cell is ergodic. If absorption and/or leakage of light take place at the interface between the cells, we establish a so-called "multiplication rule", which relates the intensity autocorrelation function of light transmitted through the double-cell sandwich to the autocorrelation functions of individual cells by a simple multiplication. To test the proposed method, we perform a series of DWS experiments using colloidal gels as model nonergodic media. Our experimental data are consistent with the theoretical predictions, allowing quantitative characterization of nonergodic media and demonstrating the validity of the proposed technique.

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Section: Introductionmentioning

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Diffusing-wave spectroscopy of nonergodic media

et al. 2001

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“…The method allows quantitative characterisation of the motion of scattering particles in tissues and, therefore, can be used to measure the blood flow velocity [215,216]. In Refs.…”

Section: Methods Based On the Detection Of Diffusely Scattered Lightmentioning

confidence: 99%

Diffuse optical mammotomography: state-of-the-art and prospects

Konovalov

Genina

Bashkatov

2016

JBPE

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Abstract:The principles of diffuse optical tomography (DOT) of tissues are presented. The DOT capabilities as a method of breast cancer diagnostics are analysed. The state-ofthe-art of the DOT instrumentation and methodological base in application to solving the mammography problems are described. The significant contribution of Russian scientists to the development of the DOT methodology is emphasised. Basing on the results of the analysis, the authors expect the possibility of soonest entry of diffuse optical mammotomographs to the market of medical imaging instrumentation, and the capability of Russian researchers to take part in the competition for this market. © 2016 Journal of Biomedical Photonics & Engineering.Key words: diffuse optical tomography, breast, optical and functional parameters, methods of determining optical parameters, methods of image reconstruction, perturbation model of reconstruction, temporal point spread function, spatial resolution, reconstruction time. University Press, Cambridge (2016). 7. S. R. Arridge, and M. Schweiger, "Inverse methods for optical tomography," in Information Processing in Medical Imaging, H.H. Barrett (ed.), Springer-Verlag, Flagstaff, 259-277 (1993). 8. J. C. Hebden, S. R. Arridge, and D. T. Delpy, "Optical imaging in medicine: I. Experimental techniques,"Phys. Med. Biol. 42, 825-840 (1997). 9. S. R. Arridge, and J. C. Hebden, "Optical imaging in medicine: II. Modelling and reconstruction," Phys. Med. Biol. 42, 841-853 (1997). 10. B. B. Das, F. Liu, and R. R. Alfano, "Time-resolved fluorescence and photon migration studies in biomedical and random media," Rep. Prog. Phys. 60, 227-292 (1997). 11. K. Michielsen, H. De'Raedt, J. Przeslawski, and N. Garcia, "Computer simulation of time-resolved optical imaging of objects hidden in turbid media," Phys. Rep. 304, 89-144 (1998). 12. S. R. Arridge, "Optical tomography in medical imaging," Inverse Problems 15, R41-R93 (1999). Darzi, "Diffuse optical imaging of the healthy and diseased breast: a systematic review," Breast Cancer Research and Treatment 108, 9-22 (2008). 19. S. L. Jacques, and B. W. Pogue, "Tutorial on diffuse light transport," J. Biomed. Opt. 13, 041302 (2008 Biol. 361, 171-179 (1994). 31. A. Yodh, and B. Chance, "Spectroscopy and imaging with diffusing light," Phys. Today 48, 34-40 (1995). 32. J. C. Hebden, S. R. Arridge, "Imaging through scattering media by the use of an analytical model of perturbation amplitudes in the time domain," Appl. Opt. 35, 6788-6796 (1996). 33. K. D. Paulsen, and H. Jiang, "Enhanced frequency-domain optical image reconstruction in tissues through total-variation minimization," Appl. Opt. 35, 3447-3458 (1996). 34. R. J. Grable, "Optical tomography improves mammography," Laser Focus World 32, 113-118 (1996). 35. V. V. Lyubimov, "The physical foundation of the strongly scattering media laser tomography," Proc. SPIE 2769SPIE , 107-110 (1996. 36. V. V. Lyubimov, "Optical tomography of highly scattering media by using the first transmitted photons of ultrashort pulses," Optics a...

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“…In the past, several analytical models have been derived with the aim to extract the physiological parameters from the g (2) i (τ ) experimental measurements (see e.g. Pines et al (1990), Boas (1996), Skipetrov and Meglinski (1998), Binzoni et al (2006b)). A numerical model that allows one to test these analytical models and in particular that can take into account any blood velocity distribution and the role of (ω) appears to be extremely useful in this context.…”

Section: Example: Monte Carlo Generation Of Gmentioning

confidence: 99%

The photo-electric current in laser-Doppler flowmetry by Monte Carlo simulations

2009

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Monte Carlo (MC) simulations significantly contributed to a better understanding of laser-Doppler flowmetry (LDF). Here it is shown that the data obtained from standard MC simulations can be reinterpreted and used to extract more information such as the photo-electric current (i(t)). This is important because i(t) is the starting point for evaluating any existing or new algorithm to be used in LDF instrumentation. This circumvents the tedious procedure of generating a specific model (often approximated if possible at all) each time a different algorithm is considered. By a series of tutorial examples, the influence of various parameters is investigated, e.g. sampling rate, total acquisition time and dc filtering. These cases also demonstrate the fundamental role played by the photons' random phase in the shaping of the LDF signal. In particular, it is demonstrated by MC simulation that when the number of photon-moving red blood cell interactions is too low, then the Siegert relation that exists between the field and photo-electric current autocorrelation functions does not hold. This is an important point because the validity of the Siegert relation is implicitly admitted in the majority of the classical analytical models for the autocorrelation function in LDF (the classical MC approach does not allow one to study this problem). The proposed method and examples could stimulate new ideas and help the scientific community develop, test and validate new approaches in LDF.

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Diffusing-wave spectroscopy in randomly inhomogeneous media with spatially localized scatterer flows

Cited by 28 publications

References 20 publications

Diffusing-wave spectroscopy of nonergodic media

Diffusing-wave spectroscopy of nonergodic media

Diffuse optical mammotomography: state-of-the-art and prospects

The photo-electric current in laser-Doppler flowmetry by Monte Carlo simulations

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