Literature DB >> 29716254

Estimation of polydispersity in aggregating red blood cells by quantitative ultrasound backscatter analysis.

Romain de Monchy1, Julien Rouyer1, François Destrempes2, Boris Chayer2, Guy Cloutier2, Emilie Franceschini1.   

Abstract

Quantitative ultrasound techniques based on the backscatter coefficient (BSC) have been commonly used to characterize red blood cell (RBC) aggregation. Specifically, a scattering model is fitted to measured BSC and estimated parameters can provide a meaningful description of the RBC aggregates' structure (i.e., aggregate size and compactness). In most cases, scattering models assumed monodisperse RBC aggregates. This study proposes the Effective Medium Theory combined with the polydisperse Structure Factor Model (EMTSFM) to incorporate the polydispersity of aggregate size. From the measured BSC, this model allows estimating three structural parameters: the mean radius of the aggregate size distribution, the width of the distribution, and the compactness of the aggregates. Two successive experiments were conducted: a first experiment on blood sheared in a Couette flow device coupled with an ultrasonic probe, and a second experiment, on the same blood sample, sheared in a plane-plane rheometer coupled to a light microscope. Results demonstrated that the polydisperse EMTSFM provided the best fit to the BSC data when compared to the classical monodisperse models for the higher levels of aggregation at hematocrits between 10% and 40%. Fitting the polydisperse model yielded aggregate size distributions that were consistent with direct light microscope observations at low hematocrits.

Entities:  

Year:  2018        PMID: 29716254     DOI: 10.1121/1.5031121

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  1 in total

Review 1.  Basic concept and clinical applications of quantitative ultrasound (QUS) technologies.

Authors:  Tadashi Yamaguchi
Journal:  J Med Ultrason (2001)       Date:  2021-10-20       Impact factor: 1.314

  1 in total

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