By Topic

Real-time imaging based quantification of microbubbles concentration and velocity vector quality evaluation using texture analysis method for ultrasonic particle image velocimetry technique

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Niu, Lili ; Paul C. Lauterbur Res. Center for Biomed. Imaging SIAT, Chinese Acad. of Sci., Shenzhen, China ; Ming Qian ; Qiaofeng Jin ; Bo Jiang
more authors

Previous studies showed that the concentration of ultrasound contrast agents (UCAs) during imaging would impact greatly on the accuracy of flow velocity measurements using ultrasonic particle image velocimetry (Echo PIV) technique. This paper presents a texture-based method to identify the optimum concentration of UCAs for Echo PIV. The first-order and seconded-order texture features, standard deviation, contrast, energy and homogeneity, are extracted from ultrasound images of in vitro rotational flow (10MHz) and in vivo rat (30MHz) common carotid arterial flow with UCAs at various concentrations. The results show that the optimum UCAs concentration is 0.8~2×103 bubbles/ml in vitro and 1~5×105 bubbles/ml in vivo, therein high accurate velocity vectors are obtained by Echo PIV. Otherwise, poor quality velocity vectors are yielded. The accuracy of K-nearest neighbor classifier reaches 86.4% in vitro. Thus, texture features could be used to identify the optimum UCAs concentration in real time for Echo PIV.

Published in:

Ultrasonics Symposium (IUS), 2010 IEEE

Date of Conference:

11-14 Oct. 2010