Literature DB >> 18319773

Experimental and theoretical laser-Doppler frequency spectra of a tissuelike model of a human head with capillaries.

R Lohwasser1, G Soelkner.   

Abstract

Laser-Doppler flow measurements with penetration depths from 10 to 30 mm have been performed on a layered model of the human head consisting of a regular array of capillaries with diameters of 340 microm embedded in an epoxy matrix with tissuelike scattering and absorption properties. Monte Carlo simulations and an analytical approach based on diffusing wave spectroscopy have corroborated the measurements and have led to a quantitative description of flow in deep-lying tissue layers with regard to layers near the surface also. The results indicate that it may be possible to measure changes in cortical blood flow even in the presence of a well-perfused scalp.

Entities:  

Year:  1999        PMID: 18319773     DOI: 10.1364/ao.38.002128

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  4 in total

1.  Adaptive processing bandwidth adjustment for laser Doppler flowmetry.

Authors:  Y Y Chen; Y H Lin; I C Jan; R S Liu; N K Chou; G J Jan
Journal:  Med Biol Eng Comput       Date:  2004-05       Impact factor: 2.602

Review 2.  Review of methodological developments in laser Doppler flowmetry.

Authors:  Vinayakrishnan Rajan; Babu Varghese; Ton G van Leeuwen; Wiendelt Steenbergen
Journal:  Lasers Med Sci       Date:  2008-01-31       Impact factor: 3.161

3.  Bone tissue phantoms for optical flowmeters at large interoptode spacing generated by 3D-stereolithography.

Authors:  Tiziano Binzoni; Alessandro Torricelli; Remo Giust; Bruno Sanguinetti; Paul Bernhard; Lorenzo Spinelli
Journal:  Biomed Opt Express       Date:  2014-07-21       Impact factor: 3.732

4.  Validation of speed-resolved laser Doppler perfusion in a multimodal optical system using a blood-flow phantom.

Authors:  Hanna Jonasson; Ingemar Fredriksson; Marcus Larsson; Tomas Strömberg
Journal:  J Biomed Opt       Date:  2019-09       Impact factor: 3.170

  4 in total

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