4.7 Article

Effects of red blood cell aggregates dissociation on the estimation of ultrasound speckle image velocimetry

Journal

ULTRASONICS
Volume 54, Issue 6, Pages 1480-1487

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.ultras.2014.04.017

Keywords

RBC disaggregation; Speckle image velocimetry; RBC aggregation; Shear rate

Funding

  1. National Research Foundation of Korea (NRF) - Korea government (MSIP) [2008-0061991]

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Ultrasound speckle image of blood is mainly attributed by red blood cells (RBCs) which tend to form RBC aggregates. RBC aggregates are separated into individual cells when the shear force is over a certain value. The dissociation of RBC aggregates has an influence on the performance of ultrasound speckle image velocimetry (SIV) technique in which a cross-correlation algorithm is applied to the speckle images to get the velocity field information. The present study aims to investigate the effect of the dissociation of RBC aggregates on the estimation quality of SW technique. Ultrasound B-mode images were captured from the porcine blood circulating in a mock-up flow loop with varying flow rate. To verify the measurement performance of Sly technique, the centerline velocity measured by the SIV technique was compared with that measured by Doppler spectrograms. The dissociation of RBC aggregates was estimated by using decorrelation of speckle patterns in which the subsequent window was shifted as much as the speckle displacement to compensate decorrelation caused by in-plane loss of speckle patterns. The decorrelation of speckles is considerably increased according to shear rate. Its variations are different along the radial direction. Because the dissociation of RBC aggregates changes ultrasound speckles, the estimation quality of Sly technique is significantly correlated with the decorrelation of speckles. This degradation of measurement quality may be improved by increasing the data acquisition rate. This study would be useful for simultaneous measurement of hemodynamic and hemorheological information of blood flows using only speckle images. (C) 2014 Elsevier B.V. All rights reserved.

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