Supporting the potential of quantitative ultrasonic techniques for the evaluation of platelet concentration

J. A. Villamarín; Y. M. Jiménez; L. Tatiana Molano; W. Edgar Gutierrez; L. Fernando Londoño; D. A. Gutierrez

doi:10.1117/12.2288118

17 November 2017 Supporting the potential of quantitative ultrasonic techniques for the evaluation of platelet concentration

J. A. Villamarín, Y. M. Jiménez , L. Tatiana Molano, W. Edgar Gutierrez, L. Fernando Londoño, D. A. Gutierrez

Author Affiliations +

Proceedings Volume 10572, 13th International Conference on Medical Information Processing and Analysis; 1057207 (2017) https://doi.org/10.1117/12.2288118
Event: 13th International Symposium on Medical Information Processing and Analysis, 2017, San Andres Island, Colombia

Abstract

This article describes the results obtained by making use of a non-destructive, non-invasive ultrasonic system for the acoustic characterization of bovine plasma rich in platelets using digital signal processing techniques. This study includes computational methods based on acoustic spectrometry estimation and experimental measurements of the speed of sound in blood plasma from different samples analyzed, using an ultrasonic field with resonance frequency of 5 MHz. The results showed that the measurements on ultrasonic signals can contribute to the hematological predictions based on the linear regression model applied to the relationship between experimental ultrasonic parameters calculated and platelet concentration, indicating a growth rate of 1 m/s for each 0.90 x10³ platelet per mm³. On the other hand, the attenuation coefficient presented changes of 20% in the platelet concentration using a resolution of 0.057 dB/cm MHz.

Citation Download Citation

J. A. Villamarín, Y. M. Jiménez , L. Tatiana Molano, W. Edgar Gutierrez, L. Fernando Londoño, and D. A. Gutierrez "Supporting the potential of quantitative ultrasonic techniques for the evaluation of platelet concentration", Proc. SPIE 10572, 13th International Conference on Medical Information Processing and Analysis, 1057207 (17 November 2017); https://doi.org/10.1117/12.2288118

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