Literature DB >> 23725769

Improvement of ultrasound speckle image velocimetry using image enhancement techniques.

Eunseop Yeom1, Kweon-Ho Nam, Dong-Guk Paeng, Sang Joon Lee.   

Abstract

Ultrasound-based techniques have been developed and widely used in noninvasive measurement of blood velocity. Speckle image velocimetry (SIV), which applies a cross-correlation algorithm to consecutive B-mode images of blood flow has often been employed owing to its better spatial resolution compared with conventional Doppler-based measurement techniques. The SIV technique utilizes speckles backscattered from red blood cell (RBC) aggregates as flow tracers. Hence, the intensity and size of such speckles are highly dependent on hemodynamic conditions. The grayscale intensity of speckle images varies along the radial direction of blood vessels because of the shear rate dependence of RBC aggregation. This inhomogeneous distribution of echo speckles decreases the signal-to-noise ratio (SNR) of a cross-correlation analysis and produces spurious results. In the present study, image-enhancement techniques such as contrast-limited adaptive histogram equalization (CLAHE), min/max technique, and subtraction of background image (SB) method were applied to speckle images to achieve a more accurate SIV measurement. A mechanical sector ultrasound scanner was used to obtain ultrasound speckle images from rat blood under steady and pulsatile flows. The effects of the image-enhancement techniques on SIV analysis were evaluated by comparing image intensities, velocities, and cross-correlation maps. The velocity profiles and wall shear rate (WSR) obtained from RBC suspension images were compared with the analytical solution for validation. In addition, the image-enhancement techniques were applied to in vivo measurement of blood flow in human vein. The experimental results of both in vitro and in vivo SIV measurements show that the intensity gradient in heterogeneous speckles has substantial influence on the cross-correlation analysis. The image-enhancement techniques used in this study can minimize errors encountered in ultrasound SIV measurement in which RBCs are used as flow tracers instead of exogenous contrast agents.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Blood flow; Image-enhancement technique; RBC aggregation; Ultrasound speckle images

Mesh:

Year:  2013        PMID: 23725769     DOI: 10.1016/j.ultras.2013.05.001

Source DB:  PubMed          Journal:  Ultrasonics        ISSN: 0041-624X            Impact factor:   2.890


  7 in total

1.  Changes in velocity profile according to blood viscosity in a microchannel.

Authors:  Eunseop Yeom; Yang Jun Kang; Sang-Joon Lee
Journal:  Biomicrofluidics       Date:  2014-06-09       Impact factor: 2.800

2.  Microfluidic measurement for blood flow and platelet adhesion around a stenotic channel: Effects of tile size on the detection of platelet adhesion in a correlation map.

Authors:  Sung Yong Jung; Eunseop Yeom
Journal:  Biomicrofluidics       Date:  2017-04-25       Impact factor: 2.800

3.  Microfluidic-based speckle analysis for sensitive measurement of erythrocyte aggregation: A comparison of four methods for detection of elevated erythrocyte aggregation in diabetic rat blood.

Authors:  Eunseop Yeom; Sang Joon Lee
Journal:  Biomicrofluidics       Date:  2015-04-03       Impact factor: 2.800

4.  Measurement of real pulsatile blood flow using X-ray PIV technique with CO2 microbubbles.

Authors:  Hanwook Park; Eunseop Yeom; Seung-Jun Seo; Jae-Hong Lim; Sang-Joon Lee
Journal:  Sci Rep       Date:  2015-03-06       Impact factor: 4.379

5.  Hybrid System for Ex Vivo Hemorheological and Hemodynamic Analysis: A Feasibility Study.

Authors:  Eunseop Yeom; Yang Jun Kang; Sang Joon Lee
Journal:  Sci Rep       Date:  2015-06-19       Impact factor: 4.379

6.  Effect of diabetic duration on hemorheological properties and platelet aggregation in streptozotocin-induced diabetic rats.

Authors:  Eunseop Yeom; Hyeokjun Byeon; Sang Joon Lee
Journal:  Sci Rep       Date:  2016-02-22       Impact factor: 4.379

7.  X-ray PIV measurement of blood flow in deep vessels of a rat: An in vivo feasibility study.

Authors:  Hanwook Park; Eunseop Yeom; Sang Joon Lee
Journal:  Sci Rep       Date:  2016-01-18       Impact factor: 4.379

  7 in total

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