Literature DB >> 19529414

Diffusing-wave spectroscopy from head-like tissue phantoms: influence of a non-scattering layer.

Franck Jaillon1, Sergey E Skipetrov, Jun Li, Gregor Dietsche, Georg Maret, Thomas Gisler.   

Abstract

We investigate the influence of a non-scattering layer on the temporal field autocorrelation function of multiple scattered light from a multilayer turbid medium such as the human head. Data from Monte Carlo simulations show very good agreement with the predictions of the correlation-diffusion equation with boundary conditions taking into account non-diffusive light transport within the non-scattering layer. Field autocorrelation functions measured at the surface of a multilayer phantom including a non-scattering layer agree well with theory and simulations when the source-receiver distance is significantly larger than the depth and the thickness of the non-scattering layer. Our results show that for source-receiver distances large enough to probe the dynamics in the human cortex, the cortical diffusion coefficient obtained by analyzing field autocorrelation functions neglecting the presence of the non-scattering cerebrospinal fluid layer is underestimated by about~$40\,\%$ in situations representative of the human head.

Entities:  

Year:  2006        PMID: 19529414     DOI: 10.1364/oe.14.010181

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  19 in total

1.  Pressure modulation algorithm to separate cerebral hemodynamic signals from extracerebral artifacts.

Authors:  Wesley B Baker; Ashwin B Parthasarathy; Tiffany S Ko; David R Busch; Kenneth Abramson; Shih-Yu Tzeng; Rickson C Mesquita; Turgut Durduran; Joel H Greenberg; David K Kung; Arjun G Yodh
Journal:  Neurophotonics       Date:  2015-08-04       Impact factor: 3.593

2.  Longitudinal optical monitoring of blood flow in breast tumors during neoadjuvant chemotherapy.

Authors:  J M Cochran; S H Chung; A Leproux; W B Baker; D R Busch; A M DeMichele; J Tchou; B J Tromberg; A G Yodh
Journal:  Phys Med Biol       Date:  2017-04-12       Impact factor: 3.609

Review 3.  Clinical applications of near-infrared diffuse correlation spectroscopy and tomography for tissue blood flow monitoring and imaging.

Authors:  Yu Shang; Ting Li; Guoqiang Yu
Journal:  Physiol Meas       Date:  2017-02-15       Impact factor: 2.833

4.  A Nth-order linear algorithm for extracting diffuse correlation spectroscopy blood flow indices in heterogeneous tissues.

Authors:  Yu Shang; Guoqiang Yu
Journal:  Appl Phys Lett       Date:  2014-10-01       Impact factor: 3.791

5.  Diffuse Optics for Tissue Monitoring and Tomography.

Authors:  T Durduran; R Choe; W B Baker; A G Yodh
Journal:  Rep Prog Phys       Date:  2010-07

6.  Modified Beer-Lambert law for blood flow.

Authors:  Wesley B Baker; Ashwin B Parthasarathy; David R Busch; Rickson C Mesquita; Joel H Greenberg; A G Yodh
Journal:  Biomed Opt Express       Date:  2014-10-28       Impact factor: 3.732

7.  Measuring cell displacements in opaque tissues: dynamic light scattering in the multiple scattering regime.

Authors:  Benjamin Brunel; Vincent Levy; Arnaud Millet; Monika Elzbieta Dolega; Antoine Delon; Romain Pierrat; Giovanni Cappello
Journal:  Biomed Opt Express       Date:  2020-03-31       Impact factor: 3.732

8.  Extraction of diffuse correlation spectroscopy flow index by integration of Nth-order linear model with Monte Carlo simulation.

Authors:  Yu Shang; Ting Li; Lei Chen; Yu Lin; Michal Toborek; Guoqiang Yu
Journal:  Appl Phys Lett       Date:  2014-05-13       Impact factor: 3.791

9.  Blood flow reduction in breast tissue due to mammographic compression.

Authors:  David R Busch; Regine Choe; Turgut Durduran; Daniel H Friedman; Wesley B Baker; Andrew D Maidment; Mark A Rosen; Mitchell D Schnall; Arjun G Yodh
Journal:  Acad Radiol       Date:  2014-02       Impact factor: 3.173

Review 10.  Diffuse correlation spectroscopy for non-invasive, micro-vascular cerebral blood flow measurement.

Authors:  Turgut Durduran; Arjun G Yodh
Journal:  Neuroimage       Date:  2013-06-14       Impact factor: 6.556

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