Scattering and Imaging with Diffusing Temporal Field Correlations

Boas, D. A.; Campbell, L. E.; Yodh, Arjun G.

doi:10.1103/physrevlett.75.1855

Cited by 480 publications

(444 citation statements)

References 24 publications

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“…In Refs. [216][217][218] it was shown that the diffusion propagation of temporal correlations in a randomly inhomogeneous medium, consisting of different spatially separated scattering regions, is sensitive to the dynamics of the scatterer motion in these regions. In principle, this fact allows one to use position-dependent measurements of the temporal autocorrelation function of the field for tomographic reconstruction of the images of the dynamical inhomogeneities in the medium.…”

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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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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“…The temporal statistics (or frequency-domain analogs of temporal statistics) of the speckle fluctuations of the scattered light are measured, and the electric field temporal autocorrelation function or its Fourier transform is calculated from the measured light intensity autocorrelation function. Using a correlation diffusion equation describing the propagation of the electric field temporal autocorrelation function through tissues, 16,17,58 the measured signal can then be related to the motion of scatterers. In the case of tissues, the primary moving scatterers are RBCs.…”

Section: Diffuse Correlation Spectroscopymentioning

confidence: 99%

“…Endogenous tumor-to-normal contrasts available to NIRS include: tissue absorption; scattering; concentrations of oxy-, deoxy-, and total-hemoglobin, water and lipids; and blood oxygen saturation. [7][8][9][10][11][12][13][14][15] A relatively new dynamic NIR technique, namely diffuse correlation spectroscopy (DCS) 16,17 or diffuse wave spectroscopy (DWS), [18][19][20] has been developed which can directly measure the motions of red blood cells in biological tissues while also maintaining all the advantages of NIRS. DCS flow measurements are accomplished by monitoring speckle fluctuations of photons induced by the moving scatterers in tissues.…”

Section: Introductionmentioning

confidence: 99%

Near-infrared diffuse correlation spectroscopy in cancer diagnosis and therapy monitoring

2012

J. Biomed. Opt.

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Abstract. A novel near-infrared (NIR) diffuse correlation spectroscopy (DCS) for tumor blood flow measurement is introduced in this review paper. DCS measures speckle fluctuations of NIR diffuse light in tissue, which are sensitive to the motions of red blood cells. DCS offers several attractive new features for tumor blood flow measurement such as noninvasiveness, portability, high temporal resolution, and relatively large penetration depth. DCS technology has been utilized for continuous measurement of tumor blood flow before, during, and after cancer therapies. In those pilot investigations, DCS hemodynamic measurements add important new variables into the mix for differentiation of benign from malignant tumors and for prediction of treatment outcomes. It is envisaged that with more clinical applications in large patient populations, DCS might emerge as an important method of choice for bedside management of cancer therapy, and it will certainly provide important new information about cancer physiology that may be of use in diagnosis.

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“…19,[26][27][28][29] The latter is now widely applied in concentrated colloidal suspensions, 19,[26][27][28][29][30] foams, [31][32][33][34][35] emulsions, 36-38 granular 39-41 and biological [42][43][44] media. Besides, the DWS has been extended to macroscopically heterogeneous turbid media, providing a tool for imaging of dynamic heterogeneities [45][46][47] and visualization of scatterer flows [47][48][49] in the bulk of the medium. A generalization of DWS technique has been also accomplished for anisotropic disordered media.…”

Section: Introductionmentioning

confidence: 99%

Temporal fluctuations of waves in weakly nonlinear disordered media

Skipetrov¹

2001

Phys. Rev. E

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We consider the multiple scattering of a scalar wave in a disordered medium with a weak nonlinearity of Kerr type. The perturbation theory, developed to calculate the temporal autocorrelation function of scattered wave, fails at short correlation times. A self-consistent calculation shows that for nonlinearities exceeding a certain threshold value, the multiple-scattering speckle pattern becomes unstable and exhibits spontaneous fluctuations even in the absence of scatterer motion. The instability is due to a distributed feedback in the system "coherent wave + nonlinear disordered medium". The feedback is provided by the multiple scattering. The development of instability is independent of the sign of nonlinearity.

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Scattering and Imaging with Diffusing Temporal Field Correlations

Cited by 480 publications

References 24 publications

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

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

Near-infrared diffuse correlation spectroscopy in cancer diagnosis and therapy monitoring

Temporal fluctuations of waves in weakly nonlinear disordered media

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